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

Fastbots excels in Best value for multi-LLM access - $19.99/month for GPT-4, Claude, and Gemini (vs competitors at $50-100/month) and 80+ native integrations eliminate need for Zapier/Make middleware (saves $20-50/month), scoring 96/100 in user ratings with 85% 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: Fastbots focuses on Multi-LLM support: GPT-4, GPT-4 Turbo, GPT-3.5, Claude 3 (Opus, Sonnet, Haiku), Gemini Pro 1.5, Llama 3.1 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 $680.01/month.

Which is better for enterprises: Fastbots 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. Fastbots leads with 96/100 enterprise readiness score (45/100 enterprise features).

How much does Fastbots cost vs Progress Agentic RAG?

Fastbots starts at $19.99/monthly (freemium model), while Progress Agentic RAG begins at $700/monthly (paid model). Fastbots offers a free tier, and free trials are available. This represents a significant price difference of $680.01/month. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Progress Agentic RAG to Fastbots?

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

What integrations do Fastbots and Progress Agentic RAG support?

Fastbots integrates with WhatsApp (Cloud API + 360Dialog), Facebook Messenger, Instagram DM, Telegram, Slack, Discord, Google Sheets, Airtable (13 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. Fastbots offers 86% more integrations, with webhook support for real-time data sync.

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

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

Which is better for enterprises: Fastbots 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 Fastbots cost vs Progress Agentic RAG?

Fastbots 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 Fastbots to Progress Agentic RAG?

Migration from Fastbots 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 Fastbots and Progress Agentic RAG support?

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

Fastbots 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 Fastbots 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 Fastbots 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 Fastbots 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 Fastbots if: you value best value for multi-llm access - $19.99/month for gpt-4, claude, and gemini (vs competitors at $50-100/month)
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 Fastbots

Fastbots is ai chatbot platform with 80+ integrations and white-label agency features. Fastbots is a multi-LLM chatbot platform with 80+ native integrations, visual flow builder, and comprehensive white-labeling for agencies. It offers intelligent routing across GPT-4, Claude, and Gemini with competitive pricing starting at $19.99/month, but lacks enterprise certifications and has inconsistent performance across different LLMs. Founded in 2023, headquartered in United States, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

96/100

Starting Price

$19.99/mo

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, Fastbots in overall satisfaction. From a cost perspective, Fastbots 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

Fastbots	Progress Agentic RAG	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Website crawling: Enter URL and auto-extract content with configurable depth Document upload: PDF, DOCX, TXT, CSV files Audio and video ingestion: Upload media files for transcription and knowledge extraction Plain text input: Paste or type content directly Storage limits: 400K characters (Free), 11 million characters (Starter+) Auto-retrain: Configurable schedule for knowledge base updates (daily, weekly, monthly) Note: No native Google Drive, Dropbox, or Notion integrations - requires manual export or API setup Note: No YouTube transcript auto-ingestion - video must be uploaded as file Note: 11M character limit can fill quickly with comprehensive documentation (e.g., enterprise KB with 100+ articles) Sitemap support: Bulk import from XML sitemaps	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.
L L M Model Options
OpenAI models: GPT-4, GPT-4 Turbo, GPT-3.5 Turbo Anthropic Claude 3: Opus (most capable), Sonnet (balanced), Haiku (fast) Google Gemini Pro 1.5 Meta Llama 3.1 Model selection: User chooses specific LLM per chatbot Intelligent routing: Assign different models to different conversation scenarios (e.g., GPT-4 for complex, GPT-3.5 for simple) Cost optimization: Route simple queries to cheaper models, complex to GPT-4 Note: Performance varies by model: Users report GPT-4 works best, Claude/Gemini show inconsistencies No API key requirement: Models included in subscription (vs bring-your-own-key platforms)	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.
Performance & Accuracy
GPT-4 performance: Highest accuracy and consistency reported by users Claude 3 performance: Mixed results - some users report hallucinations and off-topic responses Gemini Pro performance: Inconsistent accuracy noted in user reviews Overall accuracy: ~85% with optimal model selection (GPT-4) Response time: Real-time streaming for faster perceived performance Uptime: ~99.5% estimated from user feedback Note: No published SLA commitments Conversation memory: Context retention across messages within session	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.
Integrations & Channels
80+ native integrations (no Zapier/Make required) Messaging platforms: WhatsApp (Cloud API + 360Dialog), Facebook Messenger, Instagram DM, Telegram, Slack, Discord CRM systems: HubSpot, Salesforce, Pipedrive, Zoho CRM E-commerce: Shopify, WooCommerce, BigCommerce Payments: Stripe, PayPal, Razorpay Productivity: Google Sheets, Airtable, Notion, Google Drive Email marketing: Mailchimp, SendGrid, ConvertKit Support tools: Zendesk, Intercom, Freshdesk, Help Scout Scheduling: Calendly, Cal.com, Acuity Scheduling API access: Available on Professional plan and above for custom integrations Webhooks: Send conversation data to external systems Embedding: JavaScript widget, iframe, or direct link	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.
Developer Experience ( A P I & S D Ks)
REST API: Available on Professional ($99/mo) and above Note: No official SDKs in any language (Python, JavaScript, etc.) API documentation: Basic REST endpoint documentation in help center Note: No Swagger/OpenAPI specification Note: Developer experience rated lower compared to enterprise platforms Webhook support: POST notifications to external endpoints Custom JavaScript: Inject custom code for widget behavior API rate limits: Not publicly documented Authentication: API key-based	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.
Customization & Branding
White-label from Starter plan ($19.99): Remove "Powered by Fastbots" branding Custom domain with SSL: chat.yourdomain.com Widget customization: Colors, logo, avatar, position, size Custom CSS injection: Advanced styling control Conversation flow builder: Visual drag-and-drop interface Custom forms: Lead capture with custom fields Greeting messages: Customize initial bot message and icebreakers Tone and personality: Configurable via system prompts Multi-language support: 95+ languages with automatic translation Business plan features: Full white-labeling with custom branding throughout admin dashboard	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.
Core Chatbot Features
Visual flow builder: Drag-and-drop conversation design Multi-bot support: 1 (Free) → 3 (Starter) → 5 (Professional) → 20 (Business) Lead capture: Custom forms with field validation Lead qualification: Score and route leads based on responses Human handoff: Transfer to inbox or third-party tools (Intercom, Zendesk, etc.) Unified inbox: Manage all conversations from one dashboard Team collaboration: Multiple team members with role-based access Conversation memory: Context retention throughout session Intent detection: AI-powered understanding of user goals Fallback responses: Custom messages when bot doesn't understand A/B testing: Test different response variations	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.
Omnichannel Support
Website widget: Embeddable chat with customization WhatsApp: Cloud API + 360Dialog integration Facebook Messenger: Native integration with business pages Instagram DM: Automated responses to direct messages Telegram: Bot deployment with inline buttons Slack: Workspace integration for internal or customer use Discord: Server bot deployment Note: No voice/IVR capabilities (unlike UChat or Zendesk) Note: No SMS support without third-party integration API deployment: Build custom interfaces via API	N/A	N/A
Observability & Monitoring
Conversation analytics: Total conversations, messages, unique users Engagement metrics: Response rate, resolution rate, handoff rate Sentiment analysis: Track positive, negative, neutral conversations Popular questions: Identify most common user queries Lead metrics: Capture rate, qualification scores, conversion tracking User journey visualization: See conversation paths through flow builder Real-time monitoring: Live conversation dashboard Export capabilities: CSV export of conversation data Note: Analytics less advanced than enterprise platforms (no predictive insights or AI-powered recommendations) Team performance: Agent response times and resolution rates	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.
Pricing & Scalability
Free plan: 1 chatbot, 100 messages/month, 400K characters, basic features Starter ($19.99/mo): 3 chatbots, 2K messages/month, 11M characters, all models (GPT-4, Claude, Gemini), remove branding, custom domain, 80+ integrations Professional ($99/mo): 5 chatbots, 10K messages/month, priority support, API access, advanced analytics Business ($399/mo): 20 chatbots, 40K messages/month, white-label, dedicated account manager 5-day trial: Test paid features before committing Best value proposition: $19.99 for GPT-4, Claude, Gemini vs competitors at $50-100/month No hidden costs: LLM usage included in subscription (no per-token charges) Annual discount: Save 20% with yearly billing	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
Yes GDPR compliance Yes CCPA compliance Yes Data encryption in transit and at rest Yes SSL/TLS for custom domains Note: No SOC 2 Type II certification Note: No HIPAA compliance - unsuitable for healthcare Note: No ISO 27001 certification Note: No PCI DSS certification - payment data should be handled via integrations only Note: No FedRAMP authorization - not for government use Data residency: Not documented - likely US-based Data retention: Configurable conversation history retention User access controls: Role-based permissions for team members	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.
Support & Ecosystem
4.9/5 customer support rating on G2 (exceptional) Email support: All plans Priority support: Professional and Business plans Dedicated account manager: Business plan Knowledge base: Comprehensive help center with guides and tutorials Video tutorials: Step-by-step implementation guides Community: User community for best practices and tips Live chat support: Available during business hours Response time: Fast responses noted by users (typically within hours) Note: No 24/7 support on lower tiers Note: No SLA guarantees on response times	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
4.8/5 ease of use rating on G2 Visual flow builder: Drag-and-drop, no coding required Quick setup: Users report creating bots in 15-30 minutes Template library: Pre-built flows for common use cases AI training wizard: Guided setup for knowledge base One-click deployment: Publish to multiple channels simultaneously Intuitive UI: Clean interface praised in reviews Preview mode: Test chatbot before publishing Learning curve: Minimal - most users productive within hours Documentation quality: Clear guides for non-technical users	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.
Competitive Positioning
Best for: Small-medium businesses, agencies, e-commerce stores prioritizing value and multi-LLM access Not suitable for: Regulated industries (healthcare, finance), enterprises requiring certifications, voice/IVR use cases vs CustomGPT: Lower cost, more integrations, but lacks enterprise RAG features and certifications vs Zendesk: 1/5th the cost, better value for SMBs, but lacks compliance and enterprise features vs UChat: Better multi-LLM support, cleaner UI, but UChat has voice/IVR and more channels vs Voiceflow: More affordable, easier to use, but Voiceflow has superior workflow capabilities Key differentiator: Multi-LLM access at entry-level pricing ($19.99 vs typical $50-100) 80+ native integrations eliminates Zapier dependency (saves $20-50/month) White-label from Starter plan vs enterprise-only at competitors ($199+)	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
OpenAI models: GPT-4, GPT-4 Turbo, GPT-3.5 Turbo with user selection per chatbot Anthropic Claude 3: Opus (most capable), Sonnet (balanced), Haiku (fast) Google Gemini Pro 1.5 for multimodal capabilities Meta Llama 3.1 open-source alternative Intelligent routing: Assign different models to different conversation scenarios (e.g., GPT-4 for complex, GPT-3.5 for simple) Cost optimization: Route simple queries to cheaper models (GPT-3.5), complex to premium (GPT-4) No API key requirement: Models included in subscription vs bring-your-own-key platforms Performance variance: User reports indicate GPT-4 works best, Claude/Gemini show inconsistencies	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
R A G Capabilities
Website crawling: Auto-extract content with configurable depth from URL entry Document upload: PDF, DOCX, TXT, CSV files with 11 million character storage limit (Starter+) Audio and video ingestion: Upload media files for transcription and knowledge extraction Auto-retrain scheduling: Configurable updates (daily, weekly, monthly) for knowledge base freshness Sitemap support: Bulk import from XML sitemaps for comprehensive site coverage Conversation memory: Context retention across messages within session Overall accuracy: ~85% with optimal model selection (GPT-4 performs best) Response time: Real-time streaming for faster perceived performance Limitations: No native Google Drive, Dropbox, or Notion integrations; 11M character limit fills quickly with comprehensive documentation	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
Use Cases
E-commerce customer support: Shopify, WooCommerce, BigCommerce integrations for 24/7 product queries and order tracking Lead generation: Custom forms with field validation, lead qualification scoring, and CRM sync (HubSpot, Salesforce, Pipedrive) Multi-channel deployment: WhatsApp (Cloud API + 360Dialog), Facebook Messenger, Instagram DM, Telegram, Slack, Discord with unified inbox Small business websites: JavaScript widget embedding with customization for professional appearance at $19.99/month Agency white-label: Custom domains, remove branding from Starter plan for client deployments Multilingual support: 95+ languages with automatic translation for global customer bases NOT suitable for: Regulated industries (no HIPAA, SOC 2), voice/IVR use cases, enterprises requiring compliance certifications	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
Yes GDPR compliance - European data protection regulation Yes CCPA compliance - California Consumer Privacy Act Yes Data encryption - In transit and at rest Yes SSL/TLS - For custom domains NO SOC 2 Type II certification - Unsuitable for enterprise security requirements NO HIPAA compliance - Not for healthcare data NO ISO 27001 certification - No international security standard NO PCI DSS certification - Payment data should be handled via integrations only (Stripe, PayPal) NO FedRAMP authorization - Not for US government use Data residency: Not documented - likely US-based infrastructure User access controls: Role-based permissions for team members Best for: Non-regulated SMBs without strict compliance requirements	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
Free plan: 1 chatbot, 100 messages/month, 400K characters, basic features for testing Starter ($19.99/mo): 3 chatbots, 2K messages/month, 11M characters, all models (GPT-4, Claude, Gemini), remove branding, custom domain, 80+ integrations Professional ($99/mo): 5 chatbots, 10K messages/month, priority support, API access, advanced analytics Business ($399/mo): 20 chatbots, 40K messages/month, white-label, dedicated account manager 5-day trial: Test paid features before committing to subscription Best value proposition: $19.99 for GPT-4, Claude, Gemini access vs competitors at $50-100/month No hidden costs: LLM usage included in subscription (no per-token charges like some platforms) Annual discount: Save 20% with yearly billing commitment	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
4.9/5 customer support rating on G2 (exceptional for pricing tier) Email support: Available on all plans including free tier Priority support: Professional and Business plans with faster response times Dedicated account manager: Business plan ($399/month) includes personal contact Knowledge base: Comprehensive help center with guides and tutorials Video tutorials: Step-by-step implementation guides for common scenarios Community: User community for best practices sharing and tips Live chat support: Available during business hours for quick questions Response time: Fast responses noted by users (typically within hours, not days) Limitations: No 24/7 support on lower tiers, no SLA guarantees on response times	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
Limitations & Considerations
No compliance certifications: Missing SOC 2, HIPAA, ISO 27001, PCI DSS, FedRAMP - unsuitable for regulated industries (healthcare, finance, government) No native cloud storage: No Google Drive, Dropbox, or Notion integrations - requires manual export or API setup Storage limits: 11M character limit can fill quickly with comprehensive enterprise documentation (e.g., 100+ article knowledge bases) Model performance variance: Users report GPT-4 works best, Claude/Gemini show inconsistencies and hallucinations No voice/IVR capabilities: No phone integration or voice bot features unlike UChat or Zendesk No SMS support: Text messaging requires third-party integration Developer experience: No official SDKs in any language (Python, JavaScript, etc.), basic REST API documentation only Analytics limitations: Less advanced than enterprise platforms (no predictive insights or AI-powered recommendations) Best for: SMBs prioritizing value and multi-LLM access over enterprise certifications and advanced features	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
Core Agent Features
AI agent transformation: Transform chatbots into powerful AI agents that seamlessly perform tasks through natural conversational interactions Zapier AI Actions integration: Deploy AI agents that automate tasks, streamline workflows, and perform real-world business actions with ease Mid-conversation app calling: Bots can call thousands of apps mid-chat to check orders, book appointments, send emails without leaving conversation Natural language understanding: AI models designed to understand and respond naturally making conversations feel human-like and helpful 95 languages support: Assist users in their preferred language automatically for global customer engagement Advanced model options: OpenAI, Google, and Anthropic's Claude 3.5 for nuanced conversational abilities Effortless lead collection: Gather contact details during conversations with automatic multi-email address sending Seamless CRM connectivity: Connect to over 7,000 apps using Zapier or Make integrations to collect leads and send to CRM platforms No-code conversational AI: Create sophisticated conversational AI agents without writing a single line of code Business knowledge integration: Knows everything about your business and chats directly to customers in friendly conversational manner	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
R A G-as-a- Service Assessment
Platform type: CONVERSATIONAL AI PLATFORM WITH RAG (not pure RAG-as-a-Service) - chatbot builder with integrated knowledge retrieval Data source flexibility: Good - Website crawling with configurable depth, document upload (PDF, DOCX, TXT, CSV), audio/video ingestion, plain text input, sitemap support LLM model options: Excellent - OpenAI (GPT-4, GPT-4 Turbo, GPT-3.5 Turbo), Anthropic Claude 3 (Opus, Sonnet, Haiku), Google Gemini Pro 1.5, Meta Llama 3.1 with user selection per chatbot Knowledge base management: 11M character storage limit (Starter+), auto-retrain scheduling (daily, weekly, monthly), conversation memory for context retention API-first architecture: Weak - REST API available on Professional ($99/mo) and above, no official SDKs, basic documentation, no Swagger/OpenAPI spec Performance benchmarks: ~85% accuracy with optimal model selection (GPT-4), real-time streaming responses, ~99.5% uptime estimated from user feedback (no published SLA) RAG accuracy: GPT-4 highest accuracy/consistency, Claude 3/Gemini Pro show mixed results with inconsistencies noted in user reviews Self-service AI pricing: Excellent - $19.99/month for GPT-4, Claude, Gemini access (best value in market vs competitors at $50-100/month) Compliance & certifications: Poor - GDPR/CCPA compliant, data encryption, SSL/TLS but NO SOC 2, HIPAA, ISO 27001, PCI DSS, FedRAMP Integration ecosystem: Excellent - 80+ native integrations (no Zapier/Make required) including WhatsApp, Messenger, Instagram, Shopify, Stripe, HubSpot, Salesforce Best for: SMBs, agencies, e-commerce stores prioritizing value, multi-LLM access, and native integrations over enterprise RAG features and certifications Not suitable for: Regulated industries (healthcare, finance), enterprises requiring certifications, advanced RAG parameter controls, voice/IVR use cases	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
Additional Considerations
Free plan limitations: Only 50 messages per month suitable for testing rather than real-world production use Not suitable for complex flows: Limited ability for intricate multi-step "if-this-then-that" logic like classic Messenger marketing bots Training time investment: Bot training and customization take time to master for optimal performance Limited Meta integration: Limited ability to integrate with Meta (Facebook) content lessens overall tool value for social media marketing Company maturity: Founded in 2022, still building long-term enterprise track record vs more established players - consideration for very large corporations Scalability evaluation: Businesses should evaluate whether pricing model accommodates growth without becoming prohibitively expensive Enterprise features: Verify enterprise-grade security, GDPR compliance, and white-labeling options meet organizational requirements Custom plans available: Enterprise needs can be accommodated with custom pricing and fully managed services Managed services offering: For large teams with advanced needs, FastBots offers fully managed services handling strategy, setup, training, and ongoing improvements Strategic advantage: Unmatched flexibility with choice of LLMs and data sources distinguishes from competitors with locked-in models	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.
Customization & Flexibility ( Behavior & Knowledge)
Visual flow builder: Drag-and-drop conversation design with no coding required for creating chatbot workflows Tone and personality: Configurable via system prompts to match brand voice and communication style Greeting messages: Customize initial bot message and icebreakers for welcoming user experience Multi-language support: 95+ languages with automatic translation for global customer bases Knowledge source control: Decide what chatbot knows - uploaded information (files, docs, brand tone), ChatGPT general knowledge, or live internet search for real-time info Auto-retrain scheduling: Configurable daily, weekly, or monthly knowledge base updates for content freshness Conversation flow builder: Visual drag-and-drop interface for designing conversation paths Custom forms: Lead capture with custom fields and field validation for data collection Lead qualification: Score and route leads based on responses for sales prioritization Intelligent routing: Assign different models to different conversation scenarios (GPT-4 for complex, GPT-3.5 for simple) for cost optimization Military-grade encryption: All uploaded data secured with military-grade encryption for data protection	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.
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: Fastbots vs Progress Agentic RAG

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

When to Choose Fastbots

You value best value for multi-llm access - $19.99/month for gpt-4, claude, and gemini (vs competitors at $50-100/month)
80+ native integrations eliminate need for Zapier/Make middleware (saves $20-50/month)
Exceptional customer support - 4.9/5 rating with fast response times

Best For: Best value for multi-LLM access - $19.99/month for GPT-4, Claude, and Gemini (vs competitors at $50-100/month)

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 Fastbots 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

Fastbots starts at $19.99/month, 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 Fastbots 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 12, 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.

Fastbots vs Progress Agentic RAG