What are the main differences between Botpress and Progress Agentic RAG?

Botpress excels in Visual drag-and-drop builder with extensive code extensibility via Execute Code cards and Massive scale validation: 750,000+ active bots, 1 billion+ messages processed, scoring 85/100 in user ratings with N/A% accuracy. Progress Agentic RAG leads in Proprietary REMi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors and Open-source NucliaDB transparency (710+ GitHub stars) with managed infrastructure removes operational burden while maintaining technical visibility with 82/100 overall rating and N/A% accuracy. Key technical difference: Botpress focuses on Visual node-based flow builder with drag-and-drop conversation design while Progress Agentic RAG emphasizes REMi evaluation model v2 (Llama 3.2-3B) for continuous quality scoring: answer relevance, context relevance, groundedness, correctness (0-5 scale). Pricing differs by $700/month.

Which is better for enterprises: Botpress or Progress Agentic RAG?

Progress Agentic RAG offers SOC 2 compliance for enterprise security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Botpress leads with 85/100 enterprise readiness score.

How much does Botpress cost vs Progress Agentic RAG?

Botpress starts at custom pricing/monthly (freemium model), while Progress Agentic RAG begins at $700/monthly (paid model). Botpress offers a free tier, and free trials are available. This represents a significant price difference of $700/month. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Progress Agentic RAG to Botpress?

Migration from Progress Agentic RAG to Botpress typically requires API-based data export/import, which Botpress provides. Botpress provides comprehensive API access good documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Botpress support for migration assistance and best practices.

What integrations do Botpress and Progress Agentic RAG support?

Botpress integrates with Native channels: WhatsApp, Slack, Microsoft Teams, Telegram, Messenger, Instagram, SMS: Twilio, Vonage integrations, Web: JavaScript widget, React components, React Native SDK for mobile, CRM: Salesforce (lead CRUD, sandbox support), HubSpot (contacts, deals, tickets), Zendesk, Pipedrive, Webhook support with unique URL, x-bp-secret authentication, CORS configuration (9 integrations total). Progress Agentic RAG supports Python SDK: pip install nuclia (Python 3.8+, ~21K weekly downloads), JavaScript/TypeScript SDK: @nuclia/core (React, Next.js, Angular, Vue.js, Svelte), CMS plugins: WordPress, Strapi, Workflow: Pipedream official app, Zapier API-compatible, Chrome extension for web page indexing (7 integrations available). Both offer REST APIs for custom integrations. Botpress offers 29% more integrations, with webhook support for real-time data sync.

What are the main differences between Botpress and Progress Agentic RAG?

Botpress offers strong capabilities, scoring 0/100 in user ratings. Progress Agentic RAG provides unique strengths with 0/100 overall rating. Key technical difference: Botpress focuses on advanced features while Progress Agentic RAG emphasizes specialized capabilities.

Which is better for enterprises: Botpress or Progress Agentic RAG?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Progress Agentic RAG leads with strong/100 enterprise readiness score.

How much does Botpress cost vs Progress Agentic RAG?

Botpress starts at custom pricing/month (subscription model), while Progress Agentic RAG begins at contact sales/month (subscription model). Both require paid plans. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Botpress to Progress Agentic RAG?

Migration from Botpress to Progress Agentic RAG typically requires manual data transfer since API access may be limited. Progress Agentic RAG offers standard documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Progress Agentic RAG support for migration assistance and best practices.

What integrations do Botpress and Progress Agentic RAG support?

Botpress integrates with (multiple platforms). Progress Agentic RAG supports (various tools). API availability varies by plan. Integration coverage is comparable.

Botpress vs Progress Agentic RAG

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

More about Progress Agentic RAG More about Botpress Get Started Today

Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Botpress and Progress Agentic RAG across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between Botpress and Progress Agentic RAG, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

Choose Botpress if: you value visual drag-and-drop builder with extensive code extensibility via execute code cards
Choose Progress Agentic RAG if: you value proprietary remi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors

About Botpress

Botpress is enterprise ai agent platform with visual bot building and omnichannel deployment. Enterprise AI agent platform with visual bot building, omnichannel deployment, and RAG capabilities. 750,000+ active bots processing 1 billion+ messages with extensive channel support and no-code/low-code development. Founded in 2016, headquartered in Montreal, Quebec, Canada, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

85/100

Starting Price

Custom

About Progress Agentic RAG

Progress Agentic RAG Landing Page Screenshot

Progress Agentic RAG is enterprise application development and deployment platform. Enterprise RAG-as-a-Service platform launched Sept 2025 following Progress Software's acquisition of Barcelona-based Nuclia. Combines SOC2/ISO 27001 security with proprietary REMi evaluation model for continuous answer quality monitoring. Built on open-source NucliaDB (710+ GitHub stars) with Python/JavaScript SDKs. Starting at $700/month. Founded in 2019 (Nuclia), acquired 2025, headquartered in Barcelona, Spain (Nuclia) / Bedford, MA, USA (Progress), the platform has established itself as a reliable solution in the RAG space.

Overall Rating

82/100

Starting Price

$700/mo

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, Botpress starts at a lower price point. The platforms also differ in their primary focus: Chatbot Platform versus Enterprise Software. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

Botpress	Progress Agentic RAG	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Supported Formats: PDF, Word (DOC/DOCX), HTML, TXT, Markdown files via Studio UI and Files API Website Crawling: Firecrawl integration for HTML-to-Markdown conversion with automatic sitemap detection Real-Time Search: "Search The Web" feature using Bing API for queries when sitemaps unavailable Cloud Integrations: Google Drive (OAuth sync with file upload/download triggers), Notion (database queries, page management) Missing Integrations: No native Dropbox or Salesforce document ingestion YouTube Limitation: No transcript ingestion support - requires manual transcription and text upload (Apify workaround exists but manual) Automatic Retraining: Website sources sync regularly, file uploads managed dynamically through Files API Vector Storage Limits: 100MB (free), 1GB (Plus/$89), 2GB (Team/$495), custom (Enterprise) File Management: Replacing files automatically removes old content and indexes new content without downtime	60+ Document Formats: PDF, Word (.docx), Excel, PowerPoint, plain text, email formats with automatic parsing Multimedia Processing: Automatic speech-to-text (MP3, WAV, AIFF), video transcript extraction (MP4, etc.), OCR for scanned documents/images Cloud Connectors: SharePoint, Confluence, OneDrive, Google Drive, Amazon S3 with direct integration Sync Agent Desktop App: 60-minute automatic sync with content hashing to prevent redundant reindexing Manual Upload Interface: Files, folders, web links, sitemaps, Q&A pairs via dashboard Fast Deployment: 2-hour initial ingestion, 48-hour full deployment timeline CRITICAL GAPS: NO Dropbox integration, NO Notion integration, NO explicit YouTube transcript extraction documented Architecture Focus: Comprehensive knowledge retrieval vs lead conversion focus (unlike Drift)	Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API. Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs. Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text. View Transcription Guide Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier. See Zapier Connectors Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels
Native Channels: WhatsApp (Meta Business API), Slack (OAuth + Bot Framework), Microsoft Teams (Azure portal), Telegram (BotFather), Messenger, Instagram SMS Support: Twilio and Vonage integrations for text messaging Web Widget: JavaScript widget (recommended), DOM element mounting, full React component library for SPAs Mobile Integration: React Native SDK (BpWidget, BpIncomingMessagesListener) for iOS/Android cross-platform support Webhook Support: Unique webhook URL per bot with optional x-bp-secret header authentication and CORS configuration Automation Platforms: Zapier integration (partially in beta - some features require manual activation) CRM Integrations: Salesforce (lead CRUD, sandbox support), HubSpot (contacts, deals, tickets), Zendesk, Pipedrive Custom Integrations: TypeScript SDK with structured development flow (integration.definition.ts → index.ts → CLI deployment) Hub Marketplace: 100+ pre-built integrations and extensions from community and official sources	Python SDK: pip install nuclia (Python 3.8+, ~21,000 weekly downloads) JavaScript/TypeScript SDK: @nuclia/core on NPM (React, Next.js, Angular, Vue.js, Svelte) CMS Plugins: WordPress, Strapi integrations Workflow Automation: Pipedream official app, Zapier API-compatible Chrome Extension: Web page indexing capability Progress Ecosystem: OpenEdge database connector, Sitefinity CMS integration ('first Generative CMS') CRITICAL LIMITATION: NO native Slack, WhatsApp, Telegram, or Microsoft Teams integrations Platform Design: RAG backend + embeddable widget, NOT omnichannel conversational AI platform Custom Development Required: Messaging platform integrations need API-based custom builds	Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app. Offers ready-made hooks for Slack, Zendesk, Confluence, YouTube, Sharepoint, 100+ more. Explore API Integrations Connects with 5,000+ apps via Zapier and webhooks to automate your workflows. Supports secure deployments with domain allowlisting and a ChatGPT Plugin for private use cases. Hosted CustomGPT.ai offers hosted MCP Server with support for Claude Web, Claude Desktop, Cursor, ChatGPT, Windsurf, Trae, etc. Read more here. Supports OpenAI API Endpoint compatibility. Read more here.
Core Agent Features
Conversational AI: Multi-turn dialogue with context retention across conversation sessions Multi-Lingual: 100+ languages supported via Translator Agent with automatic translation Knowledge Base Integration: RAG-powered answers grounded in uploaded documents and websites Policy Agent: Customizable guardrails filtering outputs against defined policies for brand safety Knowledge Agent: Structured retrieval before generation to reduce hallucinations HITL Agent: Human-in-the-loop takeover when bot cannot answer (requires Team plan $495/month) Personality Agent: Rewrites all bot messages to match defined persona (friendly, professional, casual, custom) Autonomous Nodes: LLM decides which actions to execute based on conversation context Performance Claims: "Zero hallucinations in 100,000 conversations" for health coaching client, 65% ticket deflection (no RAGAS scores or latency benchmarks published)	Retrieval Agents: Autonomously select optimal retrieval strategies based on query characteristics Pre-Built Ingestion Agents (Beta): Labeler (auto-classification), Generator (summaries/JSON/extraction), Graph Extraction (entities/relationships), Q&A Generator (automatic FAQ), Content Safety (inappropriate content flagging) Web Components: <nuclia-search-bar> and <nuclia-chat> for website embedding Widget Configuration: Point-and-click for suggestions, filters, metadata display, thumbnails, answer-only modes CSS Customization: Shadow DOM architecture with cssPath attribute for advanced styling White-Labeling: Full OEM deployment support via API-first design MISSING FEATURES: NO lead capture, NO human handoff/escalation workflows, NO proactive alerting (monitoring exists, alerting undocumented)	Custom AI Agents: Build autonomous agents powered by GPT-4 and Claude that can perform tasks independently and make real-time decisions based on business knowledge Decision-Support Capabilities: AI agents analyze proprietary data to provide insights, recommendations, and actionable responses specific to your business domain Multi-Agent Systems: Deploy multiple specialized AI agents that can collaborate and optimize workflows in areas like customer support, sales, and internal knowledge management Memory & Context Management: Agents maintain conversation history and persistent context for coherent multi-turn interactions View Agent Documentation Tool Integration: Agents can trigger actions, integrate with external APIs via webhooks, and connect to 5,000+ apps through Zapier for automated workflows Hyper-Accurate Responses: Leverages advanced RAG technology and retrieval mechanisms to deliver context-aware, citation-backed responses grounded in your knowledge base Continuous Learning: Agents improve over time through automatic re-indexing of knowledge sources and integration of new data without manual retraining
Customization & Branding
Webchat Customization: Full CSS override via external stylesheet URL, custom colors/fonts/button styles/chat bubbles Branding Control: Custom bot name and avatar, proactive greeting messages via JavaScript, configurable placement and sizing White-Labeling: Remove "Powered by Botpress" watermark (requires Plus plan $89/month minimum) Personality Configuration: Personality Agent defines bot persona with variable expressions for dynamic context Persona Disable: Can be disabled at node level for specific interactions requiring different tone Backend Branding: Admin dashboard remains Botpress-branded (no full white-label backend) Multi-Tenant Limitation: No agency dashboard for managing multiple client bots under one interface Real-Time Updates: Knowledge sources update via Files API without bot republishing for Table-based sources Versioning Gap: No native versioning system - file replacement is manual with external version control required for rollback	Prompt Lab: Test LLMs side-by-side using actual customer data with real-time comparison 30+ RAG Parameters: Custom chunking strategies, context size configuration, hybrid search weighting Retrieval Strategy Customization: Agents autonomously select optimal approaches per query Widget Customization: Visual editor for suggestions, filters, metadata, thumbnails, answer modes Advanced CSS Styling: Shadow DOM with cssPath attribute for deep customization White-Labeling Support: Full OEM deployments via API-first architecture Role-Based Access Control: Account-level (Owners, Members), Knowledge Box-level (Manager, Writer, Reader) with cascading permissions SSO Integration: Enterprise identity provider connectivity	Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand. White-label Options Provides a no-code dashboard to set welcome messages, bot names, and visual themes. Lets you shape the AI’s persona and tone using pre-prompts and system instructions. Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options
Native Support: OpenAI models only - GPT-4o, GPT-4o mini, GPT-4 Turbo In-Studio Presets: Two options - "Best Model" and "Fast Model" for quick selection Alternative LLMs: Claude, Gemini, DeepSeek, LLaMA accessible via custom integrations or Execute Code cards with external API calls No Automatic Routing: Deliberately avoided for "concerns about unpredictability and latency" - users manually select models per task BYOK Limitation: Not natively supported - workaround involves storing API keys in Configuration Variables and Axios calls through Execute Code cards AI Spend Pricing: Charged at-cost with no Botpress markup on OpenAI tokens LLMz Engine: Proprietary inference layer with claimed improvements - better tool calling, token efficiency, TypeScript type definitions, V8 isolate execution No Fine-Tuning: RAG recommended as primary approach, supplemented by "learnings" system providing relevant examples at prompt-time	Anthropic: Claude 3.7, Claude 3.5 Sonnet v2 OpenAI: ChatGPT 4o, 4o mini Google: Gemini Flash 2.5, Palm2 Meta: Llama 3.2 Microsoft/Azure: Mistral Large 2 Cohere: Command-R suite Nuclia Private GenAI: 100% data isolation for maximum security Model Switching: Change providers without architectural changes via Prompt Lab Embedding Flexibility: Configurable per Knowledge Box (Nuclia multilingual default + OpenAI embeddings) Side-by-Side Testing: Compare responses across models using actual data in Prompt Lab	Taps into top models—OpenAI’s GPT-5.1 series, GPT-4 series, and even Anthropic’s Claude for enterprise needs (4.5 opus and sonnet, etc ). Automatically balances cost and performance by picking the right model for each request. Model Selection Details Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers. Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)
API Architecture: REST-only (no GraphQL) with base URL https://api.botpress.cloud/v1/ Core APIs: Runtime (messages/events), Tables (database operations), Files (uploads), Admin (workspace management) Official Packages: TypeScript-exclusive - @botpress/sdk (v4.15.6, ~2,141 weekly downloads), @botpress/client (HTTP client), @botpress/cli (development/deployment) No Python SDK: Significant limitation for data science teams - other languages must use direct REST API access Authentication: Three token types - Personal Access Token (PAT) for full access, Bot Access Key (BAK) for runtime, Integration Access Key (IAK) for integration-specific actions Rate Limits: Exist but specifics not publicly documented - Studio limits lower than production bot limits (acknowledged by staff) Documentation: Well-organized at botpress.com/docs with API references, video tutorials, "Ask AI" feature Training Resources: Botpress Academy offers free courses Documentation Gaps: Undocumented rate limits, sparse BYOK documentation, broken platform limits page (404 error)	Open-Source Foundation: NucliaDB (710+ GitHub stars, AGPLv3 license, Python/Rust) provides transparency into core retrieval mechanisms Python SDK: pip install nuclia (Python 3.8+, ~21,000 weekly downloads) - full API coverage JavaScript/TypeScript SDK: @nuclia/core (React, Next.js, Angular, Vue.js, Svelte support) REST API: Regional endpoints https://{region}.rag.progress.cloud/api/v1/ with comprehensive documentation Key Endpoints: /ask (generative answers), /find (semantic search), /upload (ingestion), /remi (quality evaluation) Dual Documentation: docs.rag.progress.cloud (primary) + legacy docs.nuclia.dev (fragmentation concern) RAG Cookbook: Downloadable comprehensive guide for developers Code Example Simplicity: Upload and search in just a few Python lines with intuitive SDK design API-First Design: Complete programmatic control over all platform capabilities	Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat. API Documentation Offers open-source SDKs—like the Python `customgpt-client`—plus Postman collections to speed integration. Open-Source SDK Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Performance & Accuracy
RAG Architecture: Standard pipeline - upload → standardization → semantic chunking → embedding → vector storage → retrieval → generation Semantic Chunking: Breaks documents by topic/meaning rather than fixed character counts for better context preservation Search API: contextDepth parameter (default: 0) prepends/appends surrounding context to matching passages Scoped Search: Tag-based filtering for targeted retrieval (limit: 50 results max) Multi-Layer Hallucination Prevention: RAG grounding + Policy Agent guardrails + Knowledge Agent structured retrieval + HITL human takeover Performance Claims: "Zero hallucinations in 100,000 conversations" (one health coaching client), 65% ticket deflection Benchmark Gap: No published RAGAS scores, latency measurements, or third-party validation Scale Validation: 750,000+ active bots and 1 billion+ messages processed provide real-world proof of production reliability LLMz Optimizations: Proprietary engine claims improved tool calling and token efficiency over standard OpenAI implementations	Benchmark Leader: Nuclia with OpenAI embeddings achieved highest scores vs Vectara on Docmatix 1.4k dataset across answer relevance, context relevance, correctness 100M Vectors: Fully ingested and optimized in ~20 minutes with sufficient worker allocation REMi v2 Speed: 30x faster inference than original Mistral-based implementation (Llama 3.2-3B based) Four-Index Hybrid Search: Document Index (property filtering), Full Text (keyword/fuzzy), Vector/Chunk (semantic), Knowledge Graph (entity relationships) Dynamic Sharding: Automatic shard creation as vector counts grow with index node replication for fault tolerance Fast Deployment: 2-hour initial ingestion, 48-hour full deployment timeline ACID Compliance: TiKV key-value store (Tier 2) manages resource metadata with transaction guarantees Three-Tier Storage: Tier 3 (S3/GCS blobs), Tier 2 (TiKV metadata), Tier 1 (sharded indexes)	Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching. Independent tests rate median answer accuracy at 5/5—outpacing many alternatives. Benchmark Results Always cites sources so users can verify facts on the spot. Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
Customization & Flexibility
Real-Time Knowledge Updates: Files API enables adding/removing content anytime without bot downtime Website Sync: Automatic crawling and re-indexing of connected websites on regular schedules Personality Customization: Personality Agent defines consistent tone (friendly, professional, casual) with variable expressions Node-Level Control: Disable Personality Agent for specific interactions requiring different behavior Policy Agent Configuration: Define custom guardrails filtering outputs for brand safety and compliance Execute Code Cards: Full TypeScript code execution within bot flows for unlimited custom logic Autonomous Node Behavior: LLM-driven decision-making for which actions to execute in conversation Versioning Limitation: No native rollback system - requires external version control and manual file replacement Tables Feature: Structured data management for dynamic content and business logic integration	N/A	N/A
Pricing & Scalability
Pay-as-you-go: $0/month + AI Spend, 500 messages, 100MB vector storage, 1 bot, 1 collaborator, $5 AI credit included Plus Plan: $89/month + AI Spend, 5,000 messages, 1GB vector storage, white-label, HITL, live chat support Team Plan: $495/month + AI Spend, 50,000 messages, 2GB vector storage, RBAC, collaboration, 3 bots, custom analytics Enterprise Plan: ~$2,000+/month custom pricing, unlimited messages/storage, SSO, SLA, dedicated manager AI Spend Unpredictability: Token consumption varies significantly with conversation length and tool usage Spending Caps: $100/month (Plus), $500/month (Team), custom (Enterprise) to control costs Overage Pricing: $20 per 5,000 messages, $20/GB vector storage, $10/bot/month Always Alive feature Third-Party Costs: WhatsApp, SMS, voice integrations incur separate Meta/Twilio fees beyond Botpress pricing Enterprise Contracts: May require multi-year commitments (3-year mentioned in reviews)	Fly Tier: $700/month - 10GB/15K resources, 750MB max file, 1 Knowledge Box, cloud only, 10K tokens/month Growth Tier: $1,750/month - 50GB/80K resources, 1.5GB max file, 2 Knowledge Boxes, Prompt Lab, 10K tokens/month Enterprise Tier: Custom pricing - Unlimited data/file size, 11 Knowledge Boxes, hybrid/on-prem deployment, 10K tokens/month Token Consumption: $0.008/token beyond 10K/month included across all tiers 14-Day Free Trial: Available without disclosed credit card requirement AWS Marketplace: Simplifies enterprise procurement with existing cloud spend commitments Competitive Entry Point: $700/month undercuts enterprise alternatives (Drift $30K+/year, Yellow.ai similar) Scaling Consideration: Token-based consumption pricing requires careful usage forecasting for budget predictability	Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans. Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates. View Pricing Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
Security & Privacy
SOC 2 Type 2: Certification in progress but not yet completed - critical gap for enterprise compliance GDPR: Compliance claimed but no EU data residency available (all data processed/stored in US) HIPAA: Not compliant - blocks healthcare use cases requiring protected health information ISO 27001: Not certified Data Residency: All data processed and stored in United States only - EU hosting "on roadmap" but not available SSO Support: OAuth2 with Google, GitHub, Azure (Enterprise plan) RBAC: Role-based access control available on Team tier ($495/month) and above SCIM: User provisioning available on Enterprise plan only Audit Logs: Enterprise plan includes comprehensive activity logging Penetration Testing: KPMG-conducted security assessments Compliance Monitoring: Drata monitors GDPR compliance controls Data Retention: Automatic deletion of personal log data, API endpoints for GDPR "right to be forgotten" Training Privacy: Conversation data not used to train Botpress or third-party models	SOC2 Type 2 Certified: Annual audits for enterprise security assurance ISO 27001 Certified: Annually audited information security management GDPR Compliant: Built-in PII anonymization automatically detects and removes personal data Encryption: AES-256 at rest, TLS in transit for comprehensive data protection AI Risk Classification: Low to minimal AI risk category with policy-as-code guardrails Human-in-the-Loop: Validation options for critical workflows Tenant Isolation: Customer data separation ensures multi-tenant security Audit Logs: Standard across all pricing tiers for compliance tracking API Key Management: Temporal keys and rotation for security hygiene CRITICAL: CRITICAL LIMITATION: NO HIPAA certification documented - healthcare organizations processing PHI must contact sales for compliance clarification Data Governance: Enterprise tier supports complete on-premise deployment for 100% data control	Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption. Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private. Security Certifications Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Observability & Monitoring
Pre-Configured Dashboard: Monthly users (total/new/returning), session counts, messages per session, 3-month trend overviews Custom Analytics: Event tracking and custom boards require Team plan ($495/month) Real-Time Monitoring: Live conversation feed in Conversations tab, runtime error visibility in Bot Dashboard Usage Alerts: Notifications at 80% and 100% usage limit thresholds AI Spend Tracking: Real-time cost monitoring with configurable spending caps Conversation Logs: Accessible in Studio (development) and Dashboard (production) with expandable details and JSON payload viewers Debugger: Step-by-step debugging (cmd/ctrl + j) with custom console.log() support in Code Cards LLM Performance Metrics: Model speed comparison, error rates per model, token generation rates, AI spend per model API Export: External BI tool integration (Tableau, Google Analytics) Third-Party Analytics: Hooks for Mixpanel, Hotjar, Segment, Amplitude integration	REMi Real-Time Dashboard: Answer relevance, context relevance, groundedness, correctness (0-5 scale) 7-Day Rolling Averages: Performance evolution graphs spanning 24 hours to 30 days Health Displays: Quality metrics shown in real-time for immediate visibility Four Quality Dimensions: Answer Relevance (query alignment), Context Relevance (passage quality), Groundedness (source derivation), Answer Correctness (ground truth alignment) REMi v2 Performance: 30x faster inference (Llama 3.2-3B) vs original Mistral implementation Benchmark Validation: Tested against Vectara on Docmatix 1.4k dataset with highest scores Audit Logs: Standard across all tiers for compliance and security tracking MISSING FEATURE: Proactive alerting not documented (monitoring exists, automated alerts unclear)	Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status. Lets you export logs and metrics via API to plug into third-party monitoring or BI tools. Analytics API Provides detailed insights for troubleshooting and ongoing optimization.
Support & Ecosystem
Free Plan Support: Community only - Discord (31,000+ members), documentation, forums Plus Plan Support: Live chat with Botpress engineers ($89/month) Team Plan Support: Advanced support + solution engineering ($495/month) Enterprise Support: Named support manager, SLA-backed response times (~$2,000+/month) Discord Community: 31,000+ highly active members with daily discussions, feature requests, troubleshooting Community Reputation: Users praise as "hands down the best Discord experience I have had" Enterprise SLA: 99.8% uptime guarantee with service credits (5-25% depending on severity) Response Time SLAs: 2 business days (standard Level 1) to 2 hours (premium Level 1) Service Credit Cap: Maximum monthly credit 50% of charges Excused Downtime: Includes OpenAI unavailability (notable caveat for external dependency) Training Resources: Botpress Academy with free courses, video tutorials, documentation at botpress.com/docs Support Limitation: Non-Enterprise users lack formal ticketing system, may wait for engineers on complex issues	Dual Documentation Portals: docs.rag.progress.cloud (primary) + legacy docs.nuclia.dev (fragmentation concern) RAG Cookbook: Comprehensive downloadable guide for developers SDK Ecosystem: Python (~21K weekly downloads) + JavaScript/TypeScript with active developer usage 14-Day Free Trial: Hands-on evaluation without credit card requirement Progress Enterprise Support: Backed by 2,000+ employee parent company infrastructure AWS Marketplace: Available November 2025 for streamlined enterprise procurement Open-Source Community: NucliaDB 710+ GitHub stars with AGPLv3 license transparency API-First Support: Comprehensive REST API documentation with regional endpoints	Supplies rich docs, tutorials, cookbooks, and FAQs to get you started fast. Developer Docs Offers quick email and in-app chat support—Premium and Enterprise plans add dedicated managers and faster SLAs. Enterprise Solutions Benefits from an active user community plus integrations through Zapier and GitHub resources.
No- Code Interface & Usability
Visual Flow Builder: Node-based canvas with drag-and-drop conversation design Action Cards: Text, Capture Information, Execute Code, AI Task, Knowledge Base, Integration actions Autonomous Nodes: LLM decides action execution without manual flow definition Knowledge Base UI: Drag-and-drop file upload (PDFs, documents), URL ingestion with automatic crawling, text input for manual content Tables Feature: Visual structured data management without code Visual Indexing: Available on Plus plan and above for knowledge base content organization Pre-Built Templates: Recipe Bot, Recruitment Bot, Customer Support, Cinema Booking, AI Dungeon Master (~8 official templates + community contributions) Template Customization: Predefined flows, knowledge bases, responses with full customization after import Collaboration: Collaborator limits - 1 (free), 2 (Plus), 3 (Team), custom (Enterprise). Real-time simultaneous editing on Team plans RBAC Requirement: Role-based access control requires Team plan ($495/month) - expensive for small teams Code Extensibility: Execute Code cards allow TypeScript for advanced customization without leaving visual interface	Target Users: Non-technical teams (marketing, HR, legal, customer support) with zero coding required Visual Dashboard: Create Knowledge Box, upload documents, deploy search widget in single session Point-and-Click Widget Editor: Configure suggestions, filters, metadata, thumbnails, answer modes visually Pre-Built Ingestion Agents (Beta): Automated workflows for labeling, summarization, graph extraction, Q&A generation, content safety Prompt Lab: Visual interface for side-by-side LLM testing with actual data Role-Based Access Control: Visual permission management separating Account and Knowledge Box concerns Rapid Deployment: Progress explicitly markets minutes-to-production capability for business users Shadow DOM Architecture: Advanced users can apply CSS styling via cssPath attribute for customization	Offers a wizard-style web dashboard so non-devs can upload content, brand the widget, and monitor performance. Supports drag-and-drop uploads, visual theme editing, and in-browser chatbot testing. User Experience Review Uses role-based access so business users and devs can collaborate smoothly.
R A G Capabilities
Platform Claim: "Most advanced RAG system in the market" - no independent benchmarks to validate Standard RAG Pipeline: Document upload → format standardization → semantic chunking → embedding → vector storage → retrieval → generation Semantic Chunking: Breaks documents into meaningful sections by topic rather than fixed character counts Search API: contextDepth parameter for prepending/appending surrounding context to matching passages Tag-Based Filtering: Scoped searches limited to specific knowledge subsets (max 50 results) Multi-Layer Guardrails: RAG grounding + Policy Agent filtering + Knowledge Agent retrieval + HITL fallback Client Results: Zero hallucinations in 100,000 conversations (health coaching client), 65% ticket deflection Benchmark Gap: No RAGAS scores, latency measurements, or third-party validation published Learnings System: Dynamically provides relevant examples at prompt-time to improve responses Vector Storage: Purpose-built vector database with plan-based scaling (100MB to custom Enterprise)	Agentic RAG Engine: Retrieval agents autonomously select optimal strategies based on query characteristics Four-Index Hybrid Search: Document (property filtering), Full Text (keyword/fuzzy), Vector/Chunk (semantic), Knowledge Graph (entity relationships) 30+ RAG Parameters: Custom chunking strategies, context size configuration, hybrid search weighting for fine-tuned optimization REMi v2 Quality Monitoring: Continuous evaluation across Answer Relevance, Context Relevance, Groundedness, Correctness (30x faster inference) Benchmark Leadership: Highest scores vs Vectara on Docmatix 1.4k dataset (answer relevance, context relevance, correctness) Pre-Built Ingestion Agents (Beta): Labeler (auto-classification), Generator (summaries/JSON), Graph Extraction (entities/relationships), Q&A Generator, Content Safety Multimodal Processing: OCR for scanned documents/images, automatic speech-to-text for audio (MP3, WAV, AIFF), video transcript extraction 60+ Document Formats: PDF, Word, Excel, PowerPoint, plain text, email formats with automatic parsing Open-Source Foundation: NucliaDB (710+ GitHub stars, AGPLv3) provides transparency into retrieval mechanisms vs black-box platforms	Core architecture: GPT-4 combined with Retrieval-Augmented Generation (RAG) technology, outperforming OpenAI in RAG benchmarks RAG Performance Anti-hallucination technology: Advanced mechanisms reduce hallucinations and ensure responses are grounded in provided content Benchmark Details Automatic citations: Each response includes clickable citations pointing to original source documents for transparency and verification Optimized pipeline: Efficient vector search, smart chunking, and caching for sub-second reply times Scalability: Maintains speed and accuracy for massive knowledge bases with tens of millions of words Context-aware conversations: Multi-turn conversations with persistent history and comprehensive conversation management Source verification: Always cites sources so users can verify facts on the spot
Omnichannel Deployment
Messaging Platforms: WhatsApp (Meta Business API), Slack (OAuth + Bot Framework), Microsoft Teams (Azure portal registration) Social Media: Telegram (BotFather setup - easy), Messenger, Instagram (Meta integration - medium complexity) SMS Support: Twilio and Vonage integrations for text messaging channels Web Deployment: JavaScript widget (recommended), DOM element mounting, React component library for SPAs Mobile Apps: React Native SDK (BpWidget, BpIncomingMessagesListener) for iOS/Android cross-platform integration Webhook Architecture: Unique webhook URL per bot with optional x-bp-secret header authentication CORS Configuration: Customizable for web embedding and API access Deployment Complexity: Ranges from easy (Telegram) to complex (Microsoft Teams Azure setup, WhatsApp Meta Business) Hub Marketplace: 100+ integrations for extended channel and platform support	N/A	N/A
Visual Bot Building
Node-Based Canvas: Drag-and-drop conversation flow design with visual connections between nodes Action Cards: Pre-built components for Text responses, Capture Information (forms), Execute Code (TypeScript), AI Tasks, Knowledge Base queries Integration Actions: Direct connections to CRM (Salesforce, HubSpot), support (Zendesk), data sources Autonomous Nodes: LLM-driven decision making for dynamic conversation paths without manual flow definition Code Extensibility: Execute Code cards allow full TypeScript programming within visual flows Knowledge Base Management: Visual drag-and-drop file upload, URL ingestion, text input, Tables for structured data Template Library: ~8 official pre-built bots (Recipe, Recruitment, Support, Cinema, AI Dungeon Master) + community contributions Real-Time Testing: Test conversations directly in Studio before deployment Version Control: No native system - requires external Git integration and manual management	N/A	N/A
R A G-as-a- Service Assessment
Platform Type: CONVERSATIONAL AI PLATFORM WITH RAG (not pure RAG service) Core Architecture: Full bot builder with integrated RAG capabilities (semantic chunking, vector storage, retrieval) Service Model: Cloud SaaS with visual development environment and omnichannel deployment RAG Implementation: Standard pipeline with semantic chunking, Policy Agent guardrails, Knowledge Agent retrieval LLM Integration: Native OpenAI support only - alternatives require custom workarounds Citation Support: Knowledge Agent provides source references but specificity level not documented Enterprise Readiness: SOC 2 in progress (not certified), no EU data residency, not HIPAA compliant Target Users: Enterprise customer support teams, e-commerce businesses, multi-channel engagement needs Key Differentiator: Visual bot building + omnichannel deployment + 750K+ bot scale validation RAG Focus: RAG is one feature within comprehensive conversational AI platform, not standalone RAG API	Platform Type: TRUE RAG-AS-A-SERVICE PLATFORM - Core mission is retrieval-augmented generation backend with developer-first API access Core Focus: Semantic search and generative Q&A across knowledge bases with transparent NucliaDB architecture RAG Backend Design: Fully managed RAG infrastructure with embeddable widgets (NOT closed conversational marketing like Drift/Yellow.ai) Programmatic Access: Complete REST API + dual SDKs (Python/JavaScript) for full knowledge base management LLM Flexibility: 7 provider options switchable without architectural changes (Anthropic, OpenAI, Google, Meta, Cohere, Azure, Nuclia) Open-Source Transparency: NucliaDB foundation (710+ GitHub stars) provides visibility into retrieval mechanisms vs black-box platforms (Lindy.ai) Comparison Alignment: Direct architectural comparison to CustomGPT.ai is valid - both are RAG-as-a-Service platforms with API-first design Use Case Fit: Organizations prioritizing knowledge retrieval, semantic search, and generative Q&A over conversational marketing/sales engagement	Platform Type: TRUE RAG-AS-A-SERVICE PLATFORM - all-in-one managed solution combining developer APIs with no-code deployment capabilities Core Architecture: Serverless RAG infrastructure with automatic embedding generation, vector search optimization, and LLM orchestration fully managed behind API endpoints API-First Design: Comprehensive REST API with well-documented endpoints for creating agents, managing projects, ingesting data (1,400+ formats), and querying chat API Documentation Developer Experience: Open-source Python SDK (customgpt-client), Postman collections, OpenAI API endpoint compatibility, and extensive cookbooks for rapid integration No-Code Alternative: Wizard-style web dashboard enables non-developers to upload content, brand widgets, and deploy chatbots without touching code Hybrid Target Market: Serves both developer teams wanting robust APIs AND business users seeking no-code RAG deployment - unique positioning vs pure API platforms (Cohere) or pure no-code tools (Jotform) RAG Technology Leadership: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, proprietary anti-hallucination mechanisms, and citation-backed responses Benchmark Details Deployment Flexibility: Cloud-hosted SaaS with auto-scaling, API integrations, embedded chat widgets, ChatGPT Plugin support, and hosted MCP Server for Claude/Cursor/ChatGPT Enterprise Readiness: SOC 2 Type II + GDPR compliance, full white-labeling, domain allowlisting, RBAC with 2FA/SSO, and flat-rate pricing without per-query charges Use Case Fit: Ideal for organizations needing both rapid no-code deployment AND robust API capabilities, teams handling diverse content types (1,400+ formats, multimedia transcription), and businesses requiring production-ready RAG without building ML infrastructure from scratch Competitive Positioning: Bridges the gap between developer-first platforms (Cohere, Deepset) requiring heavy coding and no-code chatbot builders (Jotform, Kommunicate) lacking API depth - offers best of both worlds
Competitive Positioning
Primary Advantage: Visual bot building with code extensibility - accessible to non-developers, powerful for developers Scale Validation: 750,000+ active bots and 1 billion+ messages processed prove production reliability at massive scale Omnichannel Strength: Comprehensive native support for WhatsApp, Slack, Teams, Telegram, Messenger, SMS, web, mobile Community Power: 31,000+ Discord members provide peer support, troubleshooting, best practices, feature validation Primary Challenge: SOC 2 not certified, no EU data residency - critical gaps for enterprise buyers with compliance needs Security Gap: Not HIPAA compliant, no ISO 27001 - blocks regulated industry adoption (healthcare, finance) Cost Trade-Off: Free tier available but AI Spend unpredictability + feature paywalls (RBAC at $495/month) add complexity Market Position: Conversational AI platform competing with Dialogflow, Rasa, Microsoft Bot Framework vs. pure RAG services Use Case Fit: Ideal for teams needing visual bot building + multi-channel deployment vs. pure RAG API integrations Platform vs. API: Full development environment with Studio, not lightweight RAG API - different target audience than CustomGPT	Market Position: Enterprise RAG-as-a-Service with genuine no-code accessibility + developer-first API design (dual-track appeal) Pricing Advantage: $700/month entry undercuts enterprise competitors (Drift $30K+/year, Yellow.ai similar, CustomGPT varies) REMi Differentiator: Proprietary continuous quality monitoring addresses hallucination problem - capability absent from most competitors Benchmark Leadership: Achieved highest scores vs Vectara on Docmatix 1.4k dataset (answer relevance, context relevance, correctness) Open-Source Trust: NucliaDB transparency (710+ GitHub stars) vs black-box competitors (Lindy.ai, Drift, Yellow.ai) vs. CustomGPT: Similar RAG-as-a-Service category, Progress emphasizes REMi quality monitoring + open-source foundation differentiation vs. Drift/Yellow.ai: TRUE RAG platform vs conversational marketing/sales engagement platforms (fundamentally different categories) vs. Lindy.ai: Full API/SDK access vs NO public API (Progress developer-friendly, Lindy no-code only) Integration Gaps: NO native messaging channels (Slack/WhatsApp/Teams) vs omnichannel competitors - requires custom development HIPAA Gap: No documented certification creates healthcare trust gap vs compliant competitors (Drift has HIPAA) Recent Acquisition Risk: June 2025 Progress purchase means platform still maturing under new ownership with potential direction changes Progress Ecosystem Advantage: Integration with OpenEdge, Sitefinity CMS provides distribution channels unavailable to standalone competitors	Market position: Leading all-in-one RAG platform balancing enterprise-grade accuracy with developer-friendly APIs and no-code usability for rapid deployment Target customers: Mid-market to enterprise organizations needing production-ready AI assistants, development teams wanting robust APIs without building RAG infrastructure, and businesses requiring 1,400+ file format support with auto-transcription (YouTube, podcasts) Key competitors: OpenAI Assistants API, Botsonic, Chatbase.co, Azure AI, and custom RAG implementations using LangChain Competitive advantages: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, SOC 2 Type II + GDPR compliance, full white-labeling included, OpenAI API endpoint compatibility, hosted MCP Server support (Claude, Cursor, ChatGPT), generous data limits (60M words Standard, 300M Premium), and flat monthly pricing without per-query charges Pricing advantage: Transparent flat-rate pricing at $99/month (Standard) and $449/month (Premium) with generous included limits; no hidden costs for API access, branding removal, or basic features; best value for teams needing both no-code dashboard and developer APIs in one platform Use case fit: Ideal for businesses needing both rapid no-code deployment and robust API capabilities, organizations handling diverse content types (1,400+ formats, multimedia transcription), teams requiring white-label chatbots with source citations for customer-facing or internal knowledge projects, and companies wanting all-in-one RAG without managing ML infrastructure
A I Models
Native OpenAI Support: GPT-4o, GPT-4o mini, GPT-4 Turbo with in-Studio presets ("Best Model" and "Fast Model" for quick selection) Claude Models: Claude 4 Sonnet, Claude 3.5 Sonnet, Claude 3.7 Sonnet, Claude 4.5 Sonnet accessible via custom integrations or Execute Code cards Google Gemini: Gemini Pro, Gemini 2.5 Flash available through external API calls in custom integrations Open Source Options: LLaMA, DeepSeek accessible via Execute Code cards with external API integration Model Access within Days: Platform provides access to latest LLMs within days of release for every chatbot built on Botpress No Automatic Routing: Deliberately avoided for "concerns about unpredictability and latency" - users manually select models per task LLMz Engine: Proprietary inference layer with claimed improvements - better tool calling, token efficiency, TypeScript type definitions, V8 isolate execution AI Spend Pricing: Charged at-cost with no Botpress markup on OpenAI tokens; option to use Botpress-managed credits or BYOK (bring your own key) No Fine-Tuning: RAG recommended as primary approach, supplemented by "learnings" system providing relevant examples at prompt-time	Anthropic Models: Claude 3.7, Claude 3.5 Sonnet v2 for safety-focused, high-quality generation OpenAI Models: ChatGPT 4o, 4o mini for industry-leading language capabilities Google Models: Gemini Flash 2.5, PaLM2 for multimodal and search-optimized tasks Meta Models: Llama 3.2 for open-source flexibility and customization Microsoft/Azure: Mistral Large 2 for enterprise deployments with Azure integration Cohere Models: Command-R suite for retrieval-optimized generation Nuclia Private GenAI: 100% data isolation mode for maximum security without third-party LLM exposure Model Switching: Change providers without architectural changes via Prompt Lab for side-by-side testing Embedding Flexibility: Configurable per Knowledge Box (Nuclia multilingual default + OpenAI embeddings)	Primary models: GPT-5.1 and 4 series from OpenAI, and Anthropic's Claude 4.5 (opus and sonnet) for enterprise needs Automatic model selection: Balances cost and performance by automatically selecting the appropriate model for each request Model Selection Details Proprietary optimizations: Custom prompt engineering and retrieval enhancements for high-quality, citation-backed answers Managed infrastructure: All model management handled behind the scenes - no API keys or fine-tuning required from users Anti-hallucination technology: Advanced mechanisms ensure chatbot only answers based on provided content, improving trust and factual accuracy
Use Cases
Customer Support: Most popular use case with 98% of chats resolved without human intervention (Ruby Labs: 4 million support chats monthly) Sales Automation: Majority of deployed bots part of sales process - appointment scheduling, lead nurturing, product suggestions, competitive comparisons, automated follow-ups Sales Impact: Businesses report average 67% sales increase using chatbots, projected $112 billion in retail sales for 2024 Enterprise Internal Use: HR chatbots for vacation requests, IT chatbots for employee tech troubleshooting, repetitive high-volume task automation Lead Generation: AI lead generation qualifies leads through conversational engagement, needs assessment, information gathering, automated follow-up Cost Savings: One bank saved €530,000 by deploying chatbot, demonstrating measurable enterprise ROI Multi-Channel Engagement: WhatsApp Business API, Slack, Microsoft Teams, Telegram, Messenger, Instagram, SMS (Twilio/Vonage) for comprehensive reach Scale Validation: 750,000+ active bots, 1 billion+ messages processed provide real-world production reliability proof	Enterprise Knowledge Management: Non-technical teams (marketing, HR, legal, customer support) deploying knowledge bases in minutes Healthcare & Pharma: Althaia Hospitals medical protocol search for 5,000+ healthcare professionals with HIPAA-grade security needs Financial Services: BrokerChooser replaced keyword search with generative AI for significant conversion increases Education: Columbia Business School and Barry University for academic knowledge discovery and institutional knowledge management Engineering & Research: NAFEMS knowledge discovery across thousands of technical publications for international membership Trade Organizations: CCOO (Spain's largest union) serving 1M+ members with knowledge retrieval platform Intelligent Document Processing: Automatic document classification, routing, extraction, risk identification, and summary generation Dynamic Knowledge Management: Continuous updates, gap identification, and automatic documentation generation Developer RAG Backend: API-first infrastructure for building custom AI applications with Prompt Lab experimentation	Customer support automation: AI assistants handling common queries, reducing support ticket volume, providing 24/7 instant responses with source citations Internal knowledge management: Employee self-service for HR policies, technical documentation, onboarding materials, company procedures across 1,400+ file formats Sales enablement: Product information chatbots, lead qualification, customer education with white-labeled widgets on websites and apps Documentation assistance: Technical docs, help centers, FAQs with automatic website crawling and sitemap indexing Educational platforms: Course materials, research assistance, student support with multimedia content (YouTube transcriptions, podcasts) Healthcare information: Patient education, medical knowledge bases (SOC 2 Type II compliant for sensitive data) Financial services: Product guides, compliance documentation, customer education with GDPR compliance E-commerce: Product recommendations, order assistance, customer inquiries with API integration to 5,000+ apps via Zapier SaaS onboarding: User guides, feature explanations, troubleshooting with multi-agent support for different teams
Security & Compliance
SOC 2 Type 2: Certification in progress but NOT yet completed - critical gap for enterprise compliance requirements GDPR Compliance: Claimed but NO EU data residency available - all data processed/stored in United States only NOT HIPAA Compliant: Blocks healthcare use cases requiring protected health information handling NOT ISO 27001 Certified: Information security management certification absent US-Only Data Residency: All data processed and stored in United States - EU hosting "on roadmap" but not available SSO Support: OAuth2 with Google, GitHub, Azure available on Enterprise plan only RBAC: Role-based access control available on Team tier ($495/month) and above SCIM: User provisioning available on Enterprise plan only for automated user management Audit Logs: Enterprise plan includes comprehensive activity logging for compliance tracking Security Assessments: KPMG-conducted penetration testing, Drata monitors GDPR compliance controls Data Retention: Automatic deletion of personal log data, API endpoints for GDPR "right to be forgotten" compliance Training Privacy: Conversation data NOT used to train Botpress or third-party models	SOC2 Type 2: Annually audited for enterprise security assurance ISO 27001: Annually audited information security management certification GDPR Compliant: Built-in PII anonymization automatically detects and removes personal data Encryption: AES-256 at rest, TLS in transit for comprehensive data protection AI Risk Classification: Low to minimal AI risk category with policy-as-code guardrails Human-in-the-Loop: Validation options for critical workflows requiring human oversight Tenant Isolation: Customer data separation ensures multi-tenant security with isolated Knowledge Boxes Audit Logs: Standard across all pricing tiers for compliance tracking and security monitoring API Key Management: Temporal keys and rotation for security hygiene CRITICAL LIMITATION: NO HIPAA certification documented - healthcare organizations processing PHI must contact sales for compliance clarification Data Governance: Enterprise tier supports complete on-premise deployment for 100% data control and sovereignty	Encryption: SSL/TLS for data in transit, 256-bit AES encryption for data at rest SOC 2 Type II certification: Industry-leading security standards with regular third-party audits Security Certifications GDPR compliance: Full compliance with European data protection regulations, ensuring data privacy and user rights Access controls: Role-based access control (RBAC), two-factor authentication (2FA), SSO integration for enterprise security Data isolation: Customer data stays isolated and private - platform never trains on user data Domain allowlisting: Ensures chatbot appears only on approved sites for security and brand protection Secure deployments: ChatGPT Plugin support for private use cases with controlled access
Pricing & Plans
Pay-as-you-go (Free): $0/month + AI Spend, 500 messages, 100MB vector storage, 1 bot, 1 collaborator, $5 AI credit included Plus Plan: $89/month + AI Spend, 5,000 messages, 1GB vector storage, white-label, HITL, live chat support Team Plan: $495/month + AI Spend, 50,000 messages, 2GB vector storage, RBAC, collaboration, 3 bots, custom analytics Enterprise Plan: ~$2,000+/month custom pricing, unlimited messages/storage, SSO, SLA (99.8% uptime), dedicated manager AI Spend Unpredictability: Token consumption varies significantly with conversation length, tool usage, model selection Spending Caps: $100/month (Plus), $500/month (Team), custom (Enterprise) to control AI costs Overage Pricing: $20 per 5,000 messages, $20/GB vector storage, $10/bot/month Always Alive feature Third-Party Costs: WhatsApp, SMS, voice integrations incur separate Meta/Twilio fees beyond Botpress pricing Enterprise Contracts: May require multi-year commitments (3-year contracts mentioned in reviews) Enterprise SLA: 99.8% uptime guarantee with service credits (5-25% depending on severity), maximum monthly credit 50% of charges	Fly Tier: $700/month - 10GB/15K resources, 750MB max file, 1 Knowledge Box, cloud only, 10K tokens/month included Growth Tier: $1,750/month - 50GB/80K resources, 1.5GB max file, 2 Knowledge Boxes, Prompt Lab access, 10K tokens/month Enterprise Tier: Custom pricing - Unlimited data/file size, 11 Knowledge Boxes, hybrid/on-prem deployment, 10K tokens/month Token Consumption: $0.008/token beyond 10K/month included across all tiers for usage-based scaling 14-Day Free Trial: Available without disclosed credit card requirement for hands-on evaluation AWS Marketplace: Available November 2025 for simplified enterprise procurement with existing cloud spend commitments Competitive Entry Point: $700/month undercuts enterprise alternatives (Drift $30K+/year, Yellow.ai similar, LiveChat per-agent scaling) Scaling Consideration: Token-based consumption pricing requires careful usage forecasting for budget predictability beyond included tier Best Value For: Organizations wanting to control costs through usage optimization vs fixed seat-based or per-project pricing models	Standard Plan: $99/month or $89/month annual - 10 custom chatbots, 5,000 items per chatbot, 60 million words per bot, basic helpdesk support, standard security View Pricing Premium Plan: $499/month or $449/month annual - 100 custom chatbots, 20,000 items per chatbot, 300 million words per bot, advanced support, enhanced security, additional customization Enterprise Plan: Custom pricing - Comprehensive AI solutions, highest security and compliance, dedicated account managers, custom SSO, token authentication, priority support with faster SLAs Enterprise Solutions 7-Day Free Trial: Full access to Standard features without charges - available to all users Annual billing discount: Save 10% by paying upfront annually ($89/mo Standard, $449/mo Premium) Flat monthly rates: No per-query charges, no hidden costs for API access or white-labeling (included in all plans) Managed infrastructure: Auto-scaling cloud infrastructure included - no additional hosting or scaling fees
Support & Documentation
Free Plan Support: Community only - Discord (31,000+ members), documentation, forums - no direct support Plus Plan Support: Live chat with Botpress engineers ($89/month) for direct technical assistance Team Plan Support: Advanced support + solution engineering ($495/month) for complex implementations Enterprise Support: Named support manager, SLA-backed response times (2 hours to 2 business days), ~$2,000+/month Discord Community: 31,000+ highly active members with daily discussions, feature requests, troubleshooting - praised as "best Discord experience" Documentation: Comprehensive docs at botpress.com/docs with API references, video tutorials, "Ask AI" feature for guided help Botpress Academy: Free training courses covering bot development, best practices, advanced features Response Time SLAs: 2 business days (standard Level 1) to 2 hours (premium Level 1) for Enterprise customers Service Credits: 99.8% uptime SLA with credits for downtime, includes OpenAI unavailability (notable external dependency caveat) Support Limitation: Non-Enterprise users lack formal ticketing system, may experience wait times for complex issues	Dual Documentation Portals: docs.rag.progress.cloud (primary) + legacy docs.nuclia.dev (fragmentation concern during transition) RAG Cookbook: Comprehensive downloadable guide for developers with implementation patterns and best practices SDK Ecosystem: Python (~21K weekly downloads via pip install nuclia) + JavaScript/TypeScript (@nuclia/core on NPM) REST API: Regional endpoints https://{region}.rag.progress.cloud/api/v1/ with complete programmatic control Key Endpoints: /ask (generative answers), /find (semantic search), /upload (ingestion), /remi (quality evaluation) 14-Day Free Trial: Hands-on evaluation platform without credit card requirement Progress Enterprise Support: Backed by 2,000+ employee parent company infrastructure with dedicated account management Open-Source Community: NucliaDB 710+ GitHub stars with AGPLv3 license transparency and community contributions Integration Examples: WordPress, Strapi plugins, Pipedream official app, Zapier API-compatible, Chrome extension for web indexing Progress Ecosystem: OpenEdge database connector, Sitefinity CMS integration ("first Generative CMS") for distribution advantages	Documentation hub: Rich docs, tutorials, cookbooks, FAQs, API references for rapid onboarding Developer Docs Email and in-app support: Quick support via email and in-app chat for all users Premium support: Premium and Enterprise plans include dedicated account managers and faster SLAs Code samples: Cookbooks, step-by-step guides, and examples for every skill level API Documentation Open-source resources: Python SDK (customgpt-client), Postman collections, GitHub integrations Open-Source SDK Active community: User community plus 5,000+ app integrations through Zapier ecosystem Regular updates: Platform stays current with ongoing GPT and retrieval improvements automatically
Additional Considerations
High learning curve: Platform highly flexible but non-technical users struggle with advanced flow builder and developer-oriented features Developer dependency: No quick copy-and-paste solution for real enterprise - company needs long-term employees ready to see it through with recommended 1-2 developers and 1-2 business-side employees per project Performance under load: Live users report latency and webhook timeout issues under spiky high-concurrency loads - high-traffic teams should stress-test with projected peak traffic Self-hosting complexity: For enterprise deployments with large numbers of bots or conversations self-hosting might be required shifting maintenance and scaling challenges to your team Technical requirements: Configuring Docker, Kubernetes, databases, and certificates can become roadblock - requires skills in JavaScript, API integration, NLP, state management DevOps investment needed: Teams should be prepared for additional DevOps investment for autoscaling, database sharding, and backup strategies Unpredictable AI usage costs: Every message, retrieval, or workflow call consumes tokens making monthly bills swing dramatically depending on traffic and complexity Hidden expenses: Third-party services like WhatsApp, SMS, voice integrations billed separately - advanced use cases often require engineering hours, enterprise deployments may require onboarding packages, compliance audits, or custom module builds costing thousands Scaling costs: Growing from 5,000 to 20,000 MAUs means moving from $495/month to much higher custom enterprise price - multiple bots, custom integrations, or premium add-ons can push monthly spend well past initial plan quote Resource-heavy features: Botpress LLM features can be resource-heavy requiring wise CPU/memory allocation planning Commercial license threshold: Planning more than 150K interactions per month requires commercial license Ongoing maintenance: Deployment is just start - bots must be continuously monitored, tested, and iterated to stay effective and aligned with evolving business goals	Recent Acquisition (June 2025): Progress Software acquired Nuclia for $50M - platform transitioning under new ownership with potential strategic direction changes Genuine No-Code + Developer Appeal: Dual-track value proposition - non-technical teams use dashboard, developers leverage API/SDKs for custom builds REMi Quality Differentiator: Proprietary continuous evaluation model (30x faster in v2) addresses hallucination problem absent from most RAG competitors Open-Source Trust Factor: NucliaDB (710+ GitHub stars, AGPLv3) provides code transparency vs black-box platforms - security audits possible Multimodal Strength: OCR for images, speech-to-text for audio/video creates comprehensive searchable corpus beyond text-only competitors Enterprise RAG Focus: Platform optimized for knowledge retrieval and semantic search - not conversational marketing/sales engagement like Drift/Yellow.ai Progress Ecosystem Integration: OpenEdge database connector, Sitefinity CMS integration provides distribution channels unavailable to standalone platforms Documentation Fragmentation: Dual portals (docs.rag.progress.cloud + legacy docs.nuclia.dev) during transition may cause developer confusion Competitive Pricing Entry: $700/month Fly tier undercuts enterprise RAG alternatives while providing genuine capabilities vs limited free tiers Best For: Organizations wanting model flexibility (7 providers), multimodal indexing, open-source transparency, and developer API access without managing infrastructure	Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required. Gets you to value quickly: launch a functional AI assistant in minutes. Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech. Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
Core Chatbot Features
Advanced AI capabilities: Extremely advanced AI with multiple sophisticated AI agents - automatic translation, conversation summarization, Vision Agent for image understanding LLMz custom inference engine: Core of every Botpress agent with proprietary engine for enhanced performance Conversational memory: Rich conversational memory maintaining context across long interactions, understanding complex multi-turn queries, and generating human-like responses User memory across sessions: Agent remembers conversation history of specific users across different times - recalls user preferences, where they left off, and preferred tone of voice Visual flow builder: Drag-and-drop interface for designing complex conversational flows without coding Built-in AI features: Intent recognition, entity extraction, knowledge base integration, and AI agents Custom data training: Train chatbot on custom data like website and documents Multi-channel deployment: Create and launch chatbots on many channels including website, Facebook, WhatsApp, Slack, Instagram and more platforms API integrations: Integrates with APIs, CRMs, databases, and other business applications Automatic translation: Over 100 languages for global reach AI Swarms/Teams (2025): Platform transformed into mature "AI workforce deployment and management center" with AI team collaboration capabilities Live Database Connectors: Breakthrough feature allowing direct secure connection to SQL or NoSQL database in addition to traditional API connections Open-source flexibility: Users have access to application source code and can contribute to development - skilled developers can push envelope to tailor to unique needs	AI Search & Generative Answers: Semantic search and Q&A across knowledge bases with trusted, source-linked answers Multi-Turn Conversations: Context-aware dialogue with conversation history maintained for follow-up questions Source Citations: Every answer includes citations linking to source documents for verification and transparency Auto-Summarization: Automatic summarization of long documents for quick understanding Entity Recognition: AI classification and entity extraction enriching corpus for better Q&A Answer-Only Mode: Widget configuration for concise answers vs detailed responses based on use case Multilingual Support: Nuclia multilingual embedding model handles multiple languages out-of-box MISSING FEATURES: NO lead capture, NO human handoff/escalation workflows, NO chat history export for users	Reduces hallucinations by grounding replies in your data and adding source citations for transparency. Benchmark Details Handles multi-turn, context-aware chats with persistent history and solid conversation management. Speaks 90+ languages, making global rollouts straightforward. Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Customization & Flexibility ( Behavior & Knowledge)
Knowledge Bases: Upload in variety of formats ranging from website or document to custom text file or Table Knowledge Base scoping: Scope which Knowledge Bases Autonomous Node searches by organizing documents into folders limiting availability to certain workflows Search field configuration: Configure search fields such as name, description, power, price to refine bot responses Dynamic management: Programmatically manage Knowledge Base files with Botpress API to dynamically add, update, or remove content in real time keeping AI agent knowledge current Behavior customization: Define specific behaviors in instructions to avoid unintended outputs - specify prices are final and include all discounts to prevent bot from fabricating discounts Custom responses: Program custom response by adding Transition Card in Autonomous Node and handle transition however wanted with custom error messages Bot templates: Pre-configured projects containing predefined conversational flows, Knowledge Bases, and responses serving as starting point - easily customized and extended to meet specific requirements with full developer control Visual customization: Give bot name, store avatar URL for custom icon, provide general description, formulate placeholder text displayed before user enters first text ChatGPT consultation: Customize bot behavior deciding when to consult ChatGPT based on knowledge base responses Highly customizable workflows: Unlimited variables and open-source flexibility for advanced customization	30+ RAG Optimization Parameters: Fine-grained control over retrieval behavior Custom Chunking Strategies: Configurable text segmentation for optimal context windows Context Size Configuration: Adjust context sent to LLMs based on use case Hybrid Search Weighting: Balance keyword vs semantic search relevance Retrieval Agent Autonomy: Automatically select optimal strategies per query characteristics Embedding Model Flexibility: Switch per Knowledge Box (Nuclia multilingual + OpenAI options) Prompt Lab Experimentation: Test configurations with actual data before production deployment LLM Provider Switching: Change models without architectural changes (7 providers supported)	Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current. Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus. Learn How to Update Sources Supports multiple agents per account, so different teams can have their own bots. Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
Limitations & Considerations
Steep Learning Curve: Platform highly flexible but non-technical users struggle with advanced flow builder and developer-oriented features Developer Dependency: Requires developer involvement making it less suitable for small businesses needing quick setup Performance Issues: Users report latency and laggy software experience impacting workflow efficiency Bug Disruptions: Various bugs may disrupt workflows and cause functionality problems requiring troubleshooting Missing Features: White-labeling, global compliance, seamless live support require heavy effort or unavailable, slowing adoption Data Visibility Gap: Cannot see user variables (name, email, custom fields) in chatbot conversations - limits analytics capabilities Cost for SMBs: Enterprise-level security, compliance, dedicated support cost prohibitive for smaller teams ($495-$2,000+/month) Resource Requirements: Self-hosted deployment requires IT resources for deployment and ongoing management Complex Setup: Publishing on Facebook/Instagram technically complex, live chat only available on higher-priced plans Limited Analytics: Standard plans offer limited analytical capabilities - advanced analytics require Team plan ($495/month) LLM Provider Dependency: Reliance on third-party LLM providers (primarily OpenAI) impacts operational costs, scalability, and control Complex Issue Handling: Chatbots may struggle with handling complex, nuanced customer issues requiring human judgment Multi-Instance Challenges: Setting up multiple instances from one installation proven difficult for some enterprise users Compliance Gaps: SOC 2 incomplete, no HIPAA, no ISO 27001, US-only data residency blocks regulated industries and EU enterprises	NO HIPAA Certification Documented: Healthcare organizations processing PHI must contact sales - major compliance gap vs competitors with documented HIPAA NO Native Messaging Channels: No Slack, WhatsApp, Telegram, or Microsoft Teams integrations - requires custom API-based development Documentation Fragmentation: Dual portals (docs.rag.progress.cloud + docs.nuclia.dev) during Progress acquisition transition may cause confusion Recent Acquisition Risk: June 2025 Progress purchase means platform still maturing under new ownership with potential direction changes Scalability Concerns: Multiple problems limit scalability - hard to scale nodes up/down, write operations affect concurrent search performance NO Dropbox Integration: Missing Dropbox connector vs competitors - limits cloud storage sync options NO Notion Integration: Missing Notion connector - gap for knowledge management workflows NO YouTube Transcript Extraction: Not explicitly documented vs competitors with video indexing features Token-Based Billing Complexity: $0.008/token beyond 10K/month requires careful usage forecasting vs predictable seat-based pricing Missing Features: NO lead capture, NO human handoff/escalation workflows, NO proactive alerting (monitoring exists, alerting undocumented) Learning Curve: 30+ RAG parameters and Prompt Lab may feel technical for non-developer teams despite no-code dashboard Best For: Development teams and technical users - powerful for experts but may overwhelm business users wanting simple deployment	Managed service approach: Less control over underlying RAG pipeline configuration compared to build-your-own solutions like LangChain Vendor lock-in: Proprietary platform - migration to alternative RAG solutions requires rebuilding knowledge bases Model selection: Limited to OpenAI (GPT-5.1 and 4 series) and Anthropic (Claude, opus and sonnet 4.5) - no support for other LLM providers (Cohere, AI21, open-source models) Pricing at scale: Flat-rate pricing may become expensive for very high-volume use cases (millions of queries/month) compared to pay-per-use models Customization limits: While highly configurable, some advanced RAG techniques (custom reranking, hybrid search strategies) may not be exposed Language support: Supports 90+ languages but performance may vary for less common languages or specialized domains Real-time data: Knowledge bases require re-indexing for updates - not ideal for real-time data requirements (stock prices, live inventory) Enterprise features: Some advanced features (custom SSO, token authentication) only available on Enterprise plan with custom pricing
R E Mi Evaluation Model ( Core Differentiator)
N/A	Proprietary Investment: Significant R&D differentiator addressing hallucination problem - absent from most competitors REMi v2 (Current): Llama-REMi v1 based on Llama 3.2-3B with 30x faster inference vs original Mistral implementation Continuous Quality Monitoring: Evaluates EVERY interaction across four dimensions (0-5 scale) Answer Relevance: Measures how directly response addresses the query Context Relevance: Assesses quality of retrieved passages relative to question Groundedness: Evaluates degree to which answers derive from source context (hallucination detection) Answer Correctness: Alignment with ground truth when available (optional dimension) Benchmark Validation: Nuclia with OpenAI embeddings achieved highest scores vs Vectara on Docmatix 1.4k dataset across answer relevance, context relevance, correctness Real-Time Visibility: Dashboard health displays with 7-day rolling averages and performance graphs (24h to 30d) Competitive Advantage: Most RAG platforms lack continuous quality evaluation - Progress makes this core differentiator	N/A
Open- Source Nuclia D B Foundation
N/A	GitHub Presence: 710+ stars, AGPLv3 license provides full transparency into core retrieval mechanisms Technology Stack: Python and Rust implementation for performance and reliability Managed Infrastructure: Progress removes operational burden while maintaining technical transparency Three-Tier Storage: Tier 3 (S3/GCS blob storage), Tier 2 (TiKV key-value with ACID), Tier 1 (sharded indexes) Four Index Types: Document Index (property filtering), Full Text (keyword/fuzzy search), Chunk/Vector (semantic similarity), Knowledge Graph (entity relationships) Dynamic Sharding: Automatic shard creation as vectors grow with index node replication for fault tolerance Embedding Flexibility: Switchable per Knowledge Box (Nuclia multilingual + OpenAI options) 100M Vector Performance: Full ingestion and optimization in ~20 minutes with sufficient worker allocation Developer Trust: Open-source foundation allows code inspection and contribution vs black-box competitors	N/A
Multi- Lingual Support
N/A	Nuclia Multilingual Embedding Model: Default model supporting multiple languages out-of-box 60+ Document Format Processing: Multi-language content across PDF, Word, Excel, PPT, text, email Automatic Transcription: Multi-language speech-to-text for audio/video content Configurable Embeddings: Per Knowledge Box language optimization LLM Provider Flexibility: 7 providers with varying multilingual capabilities (Claude, GPT, Gemini, Llama, etc.) Global Customer Base: Deployed across Spain, US, international markets indicating production multilingual usage	N/A
Deployment & Infrastructure
N/A	Fully Managed Cloud: EU (primary) and US data centers with regional API routing (https://{region}.rag.progress.cloud/api/v1/) Hybrid Deployment: Cloud processing with on-premise NucliaDB storage for data sovereignty requirements Complete On-Premise: Enterprise tier supports 100% on-premise deployment for maximum data governance AWS Marketplace: Available November 2025 for streamlined enterprise procurement with existing cloud spend Three-Tier Architecture: S3/GCS blob storage (Tier 3), TiKV metadata (Tier 2), sharded indexes (Tier 1) Dynamic Scaling: Automatic shard creation as vector counts grow with index node replication Web Component Embedding: <nuclia-search-bar> and <nuclia-chat> for website integration Multi-Region Support: Regional data residency options (EU/US) for compliance requirements	N/A
Customer Base & Case Studies
N/A	SRS Distribution (Wholesale Building Materials): "Progress Agentic RAG has fundamentally changed how we access and act on information across our organisation. Its ability to deliver fast, accurate, and verifiable insights from our unstructured data has been a game-changer for productivity and decision-making." BrokerChooser (Financial Services): Replaced keyword search with generative AI, reporting significant conversion increases and better user experience NAFEMS (Engineering Simulation Association): Knowledge discovery across thousands of technical publications for international membership community Althaia Hospitals (Spain's Largest Central Catalonia Hospital): Medical protocol search supporting 5,000+ healthcare professionals Columbia Business School: Academic knowledge discovery and research support Barry University: Education sector deployment for institutional knowledge management CCOO (Spain's Largest Trade Union): 1M+ members served with knowledge retrieval platform Buff Sportswear: Commercial deployment for product and customer knowledge management Pre-Acquisition Scale: ~20 customers across healthcare, pharmaceutical, education, public administration sectors	N/A

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Final Thoughts

Final Verdict: Botpress vs Progress Agentic RAG

After analyzing features, pricing, performance, and user feedback, both Botpress and Progress Agentic RAG are capable platforms that serve different market segments and use cases effectively.

When to Choose Botpress

You value visual drag-and-drop builder with extensive code extensibility via execute code cards
Massive scale validation: 750,000+ active bots, 1 billion+ messages processed
Comprehensive omnichannel support: WhatsApp, Slack, Teams, Telegram, Messenger, SMS, web

Best For: Visual drag-and-drop builder with extensive code extensibility via Execute Code cards

When to Choose Progress Agentic RAG

You value proprietary remi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors
Open-source NucliaDB transparency (710+ GitHub stars) with managed infrastructure removes operational burden while maintaining technical visibility
Genuine no-code accessibility: business users (marketing, HR, legal, support) can deploy functional RAG pipelines in minutes via visual dashboard

Best For: Proprietary REMi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors

Migration & Switching Considerations

Switching between Botpress and Progress Agentic RAG requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

Botpress starts at custom pricing, while Progress Agentic RAG begins at $700/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Botpress and Progress Agentic RAG comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements

Last updated: December 11, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

Botpress vs Progress Agentic RAG