GPTBots.ai vs Progress Agentic RAG

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

Priyansh Khodiyar's avatar
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 GPTBots.ai 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 GPTBots.ai 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 GPTBots.ai if: you value unmatched multi-llm selection: 30+ models across openai, anthropic, google, deepseek, meta, mistral, chinese llms
  • 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 GPTBots.ai

GPTBots.ai Landing Page Screenshot

GPTBots.ai is no-code ai chatbot platform for business automation. Enterprise AI agent platform with multi-LLM orchestration, visual no-code builder, and on-premise deployment. 45,500+ users across 188 countries with ISO 27001/27701 certification and comprehensive channel integrations. Founded in 2023, headquartered in Hong Kong (parent company Aurora Mobile founded 2011), the platform has established itself as a reliable solution in the RAG space.

Overall Rating
83/100
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, GPTBots.ai starts at a lower price point. The platforms also differ in their primary focus: AI Chatbot 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

logo of gptbots
GPTBots.ai
logo of progress
Progress Agentic RAG
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CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • Document Formats – PDF, DOC, MD, TXT with automatic OCR parsing
  • Spreadsheets – CSV, XLS, XLSX with header+row slicing methodology
  • Cloud Integrations – Google Drive auto-sync, Notion, Microsoft Word scheduled updates
  • Website Crawling – Sitemap mode with scheduled refresh for automatic updates
  • Audio/Video – ASR services, YouTube transcript extraction via official tools
  • Database Support – MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Redis queries
  • Real-Time Activation – Knowledge effective immediately after saving without deployment delays
  • Conversation-to-Knowledge – One-click training from logs with automatic Q&A pair generation
  • 60+ Document Formats – PDF, Word, Excel, PPT, email with auto parsing
  • Multimedia Processing – Auto speech-to-text, video transcripts, OCR for scans
  • Cloud Connectors – SharePoint, Confluence, OneDrive, Google Drive, S3
  • Fast Deployment – 2-hour initial ingestion, 48-hour full deployment
  • ⚠️ Missing – No Dropbox, Notion, or YouTube transcript integration
  • 1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives
  • Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content
  • Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in
  • Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync
  • Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors
  • Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
  • Messaging Platforms – WhatsApp (Meta+EngageLab), Telegram, Slack, Discord, Messenger, Instagram, Line, WeChat, DingTalk
  • Customer Service – Intercom, LiveChat, Zoho, Zendesk (Zapier), Sobot, SaleSmartly, Livedesk
  • CRM Integration – Salesforce and HubSpot for lead capture with AI SDR capabilities
  • Automation – Zapier (1,500+ apps), n8n workflow support, Webhook V2
  • Website Embedding – Bubble widget, iframe with user ID passthrough, full API
  • Mobile Integration – iOS Swift and Android Java WebView bridges
  • ⚠️ Access Control – Domain whitelisting, configurable credit consumption limits per user
  • Python SDK – 21K weekly downloads, Python 3.8+ support
  • JavaScript/TypeScript SDK – React, Next.js, Angular, Vue, Svelte support
  • Progress Ecosystem – OpenEdge database, Sitefinity CMS integration
  • ⚠️ No Messaging Channels – No native Slack, WhatsApp, Teams integrations
  • Website embedding – Lightweight JS widget or iframe with customizable positioning
  • CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support
  • 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools
  • MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf
  • OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints
  • LiveChat + Slack – Native chat widgets with human handoff capabilities
Core Chatbot Features
  • Three Agent Architectures – Agent (single LLM), Flow-Agent (visual orchestration), MultiAgent (collaborative roles)
  • Multi-Lingual – 90+ languages with 24/7 multilingual support
  • RAG Grounding – Hybrid search (semantic+keyword) with Jina/BAAI re-ranking for hallucination prevention
  • Citation Support – Source references with configurable relevance score thresholds
  • Human Handoff – Intercom, LiveChat, Sobot, Zoho, Webhook triggers with automatic conversation summarization
  • Lead Capture – Salesforce/HubSpot integration claiming 300% lead growth
  • ⚠️ Performance Claims – 95% autonomous resolution, 90% issue reduction (self-reported, no independent validation)
  • AI Search & Answers – Semantic search with source-linked trusted answers
  • Multi-Turn Conversations – Context-aware dialogue maintains conversation history
  • Multilingual Support – Nuclia multilingual embedding model handles multiple languages
  • ⚠️ Missing – No lead capture or human handoff workflows
  • ✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI
  • ✅ Source citations – Every response includes clickable links to original documents
  • ✅ 93% resolution rate – Handles queries autonomously, reducing human workload
  • ✅ 92 languages – Native multilingual support without per-language config
  • ✅ Lead capture – Built-in email collection, custom forms, real-time notifications
  • ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
  • Widget Customization – Custom nickname, theme color, bubble icon, position, size
  • Proactive Messaging – Configurable triggers with condition-based timing for automated engagement
  • White-Labeling – Private deployment with independent brand logos and service domains
  • Multi-Agent Specialization – Create specialized AI roles with unique expertise and knowledge bases
  • Regional Control – Data storage selection (Singapore default, Japan, Thailand)
  • RBAC – Owner, manager, viewer roles with team seat management
  • Prompt Lab – Test LLMs side-by-side using actual customer data
  • 30+ RAG Parameters – Custom chunking, context size, hybrid search weighting
  • Widget Customization – Visual editor for filters, metadata, thumbnails, answer modes
  • RBAC – Account and Knowledge Box level permissions with SSO
  • Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost
  • 2-minute setup – No-code wizard with drag-and-drop interface
  • Persona customization – Control AI personality, tone, response style via pre-prompts
  • Visual theme editor – Real-time preview of branding changes
  • Domain allowlisting – Restrict embedding to approved sites only
L L M Model Options
  • OpenAI – GPT-5.1 (400k context), GPT-4.1 (1M context), GPT-4o, o3, o4-mini
  • Anthropic – Claude 4.5 Opus/Sonnet/Haiku (200k), Claude 4.0 Sonnet
  • Google – Gemini 3.0 Pro, Gemini 2.5 Pro/Flash
  • DeepSeek – V3, R1 reasoning model (claimed 87.5% AIME 2025 accuracy)
  • Meta – Llama 3.0/3.1 (8B-405B parameter range)
  • Chinese LLMs – Qwen 3.0/2.5, Hunyuan, ERNIE 4.0, GLM-4.5
  • Dynamic Model Switching – Mid-conversation changes based on task requirements
  • Service Modes – GPTBots-provided API keys OR bring-your-own-key with reduced credits
  • Competitive Differentiator – 30+ model options, one of market's most comprehensive selections
  • 7 Providers – Anthropic, OpenAI, Google, Meta Llama, Mistral, Cohere
  • Nuclia Private GenAI – 100% data isolation for maximum security
  • Model Switching – Change providers without architectural changes
  • GPT-5.1 models – Latest thinking models (Optimal & Smart variants)
  • GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available
  • Claude 4.5 – Anthropic's Opus available for Enterprise
  • Auto model routing – Balances cost/performance automatically
  • Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
  • REST API – 8 categories: Conversation, Workflow, Knowledge, Database, Models, User, Analytics, Account
  • Core Capabilities – Create conversations, send messages, retrieve history, run workflows (sync/async)
  • Audio Support – Audio-to-text and text-to-audio conversion endpoints
  • User Management – Identity management with cross-channel user merging
  • ⚠️ Rate Limits – Free tier severely constrained at 3 requests/minute
  • SDK Gap – NO official Python, JavaScript, or Go SDKs available
  • Documentation – Comprehensive references, multi-language support, 11+ releases in 2025
  • ⚠️ Critical Limitation – Developers must implement direct REST calls without SDK support
  • Open-Source Foundation – NucliaDB 710+ stars, AGPLv3, Python/Rust
  • Python SDK – 21K weekly downloads, full API coverage
  • JavaScript/TypeScript SDK – React, Next.js, Angular, Vue, Svelte support
  • REST API – Regional endpoints /ask, /find, /upload, /remi
  • REST API – Full-featured for agents, projects, data ingestion, chat queries
  • Python SDK – Open-source customgpt-client with full API coverage
  • Postman collections – Pre-built requests for rapid prototyping
  • Webhooks – Real-time event notifications for conversations and leads
  • OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Performance & Accuracy
  • Hybrid RAG Architecture – Multi-path retrieval with semantic vector + keyword search
  • Re-Ranking Models – Jina and BAAI models for improved accuracy after retrieval
  • Chunking Strategy – Default 600 tokens adjustable with custom text splitters
  • Hallucination Prevention – RAG grounding, configurable relevance score thresholds
  • DeepSeek R1 Integration – Claimed 87.5% AIME accuracy (improved from 70%)
  • ⚠️ Case Study Results – GameWorld claims $4M annual savings (self-reported)
  • Benchmark Gap – NO published RAGAS scores or third-party analyst coverage
  • Benchmark Leader – Highest scores vs Vectara on Docmatix 1.4k dataset
  • 100M Vectors – Fully ingested and optimized in ~20 minutes
  • REMi v2 Speed – 30x faster inference, Llama 3.2-3B based
  • Four-Index Hybrid – Document, Full Text, Vector/Chunk, Knowledge Graph
  • Sub-second responses – Optimized RAG with vector search and multi-layer caching
  • Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API
  • Anti-hallucination tech – Responses grounded only in your provided content
  • OpenGraph citations – Rich visual cards with titles, descriptions, images
  • 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Pricing & Scalability
  • Free Plan – $0/month, 100 credits, unlimited agents (3 requests/minute limit)
  • Business Plan – $649/month, 10,000 credits, 100 agents, 10 published, 10 seats
  • Enterprise Plan – Custom pricing with private deployment and AI project consulting
  • Credit System – 100 credits = $1 USD, 1-year validity (use-it-or-lose-it)
  • Sample Consumption – GPT-4.1 (0.22/0.88), DeepSeek V3 (0.0157/0.0314), Claude 4.5 (0.33/1.65)
  • ⚠️ Entry Cost Barrier – $649/month significantly higher than sub-$100 competitors
  • Scale Support – 45,500+ users across 188 countries validates enterprise scalability
  • Fly – $700/mo: 10GB/15K resources, 750MB max file
  • Growth – $1,750/mo: 50GB/80K resources, 1.5GB max, Prompt Lab
  • Enterprise – Custom: Unlimited data, 11 KBs, hybrid/on-prem
  • Competitive Entry – $700/mo undercuts enterprise alternatives
  • Standard: $99/mo – 60M words, 10 bots
  • Premium: $449/mo – 300M words, 100 bots
  • Auto-scaling – Managed cloud scales with demand
  • Flat rates – No per-query charges
Security & Privacy
  • ISO 27001 – Information Security Management System certification
  • ISO 27701 – Privacy Information Management System certification
  • GDPR Compliance – Explicit compliance with data deletion within 15 business days
  • Encryption – SSL/HTTPS for transit, encryption technology for data at rest
  • Regional Storage – Singapore (default), Japan, Thailand data centers
  • SSO Support – SAML 2.0 with Microsoft Azure, Okta, OneLogin, Google
  • ⚠️ SOC 2 – Referenced but explicit certification details not prominently documented
  • HIPAA – Not mentioned, potential blocker for healthcare use cases
  • SOC2 Type 2 – Annually audited enterprise security
  • ISO 27001 – Annually audited information security management
  • GDPR Compliant – Built-in PII anonymization auto-detects personal data
  • Encryption – AES-256 at rest, TLS in transit
  • ⚠️ NO HIPAA – Healthcare PHI processing requires sales clarification
  • SOC 2 Type II + GDPR – Third-party audited compliance
  • Encryption – 256-bit AES at rest, SSL/TLS in transit
  • Access controls – RBAC, 2FA, SSO, domain allowlisting
  • Data isolation – Never trains on your data
Observability & Monitoring
  • Analytics API – Dedicated endpoints for credit consumption tracking
  • Token Tracking – API V2 includes detailed input/output token counts
  • Conversation Logs – Full history with configurable retention
  • GA4 Integration – Event callback tracking for conversion measurement
  • Retrieval Testing – Debug knowledge base recall quality before deployment
  • ⚠️ Monitoring Gap – Specific alerting capabilities less emphasized than core features
  • REMi Dashboard – Real-time metrics for relevance, groundedness, correctness (0-5)
  • Rolling Averages – Performance graphs spanning 24h to 30 days
  • Benchmark Validated – Tested vs Vectara on Docmatix 1.4k dataset
  • ⚠️ No Proactive Alerts – Alerting not documented despite monitoring
  • Real-time dashboard – Query volumes, token usage, response times
  • Customer Intelligence – User behavior patterns, popular queries, knowledge gaps
  • Conversation analytics – Full transcripts, resolution rates, common questions
  • Export capabilities – API export to BI tools and data warehouses
Support & Ecosystem
  • Documentation – Comprehensive at gptbots.ai/docs with endpoint references
  • Multi-Language Docs – English, Chinese, Japanese, Spanish, Thai
  • Testing Resources – Postman Collections (no interactive playground)
  • Active Development – 11+ major releases in 2025
  • Enterprise Support – AI project consulting, implementation services, custom SLAs
  • Parent Company Backing – Aurora Mobile Limited (NASDAQ: JG) with RMB 316.17M revenue
  • ⚠️ G2 Feedback – Documentation gaps cited by 7 reviewers, limited Spanish support by 6
  • Documentation – docs.rag.progress.cloud + legacy docs.nuclia.dev
  • SDK Ecosystem – Python 21K weekly + JavaScript/TypeScript active usage
  • Progress Support – 2,000+ employee parent company infrastructure
  • AWS Marketplace – November 2025 for streamlined procurement
  • Comprehensive docs – Tutorials, cookbooks, API references
  • Email + in-app support – Under 24hr response time
  • Premium support – Dedicated account managers for Premium/Enterprise
  • Open-source SDK – Python SDK, Postman, GitHub examples
  • 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
No- Code Interface & Usability
  • Visual Builder – Drag-and-drop agent construction with "no development burden"
  • Three Complexity Levels – Agent (simple), Flow-Agent (visual), MultiAgent (collaborative)
  • Pre-Built Templates – Customer support, lead generation, appointment scheduling
  • Debug & Preview – Test conversations before deployment with retrieval testing
  • 90-Language Support – Multilingual deployment without technical configuration
  • Target Users – Non-technical teams: marketing, HR, legal, support
  • Visual Dashboard – Create KB, upload docs, deploy widget in one session
  • Point-and-Click Editor – Configure suggestions, filters, metadata visually
  • Rapid Deployment – Minutes-to-production capability for business users
  • 2-minute deployment – Fastest time-to-value in the industry
  • Wizard interface – Step-by-step with visual previews
  • Drag-and-drop – Upload files, paste URLs, connect cloud storage
  • In-browser testing – Test before deploying to production
  • Zero learning curve – Productive on day one
Multi- L L M Orchestration
  • Market-Leading Selection – 30+ models across 7+ providers
  • Context Windows – Up to 1M tokens (GPT-4.1), 400k (GPT-5.1), 200k (Claude 4.5)
  • Reasoning Models – DeepSeek R1 with 87.5% AIME 2025 accuracy
  • Dynamic Switching – Mid-conversation model changes for task-specific optimization
  • Cost Optimization – Use expensive models for complex tasks, cheap for simple responses
  • Architectural Advantage – Multi-LLM orchestration unmatched by most competitors
N/A
N/A
On- Premise Deployment
  • Deployment Options – AWS cloud-native, Azure cloud-native, complete on-premise
  • Setup Timeline – Two weeks from initiation to deployment
  • White-Label Control – Independent brand logos, custom domains, dedicated account systems
  • Data Sovereignty – Complete control over data location for regulatory compliance
  • ⚠️ Update Cadence – 1-4 updates/year (private) vs monthly (public cloud)
  • Market Positioning – "Asia's first on-premise AI bot development platform"
N/A
N/A
A I S D R & Lead Generation
  • CRM Integration – Deep Salesforce and HubSpot connectivity
  • Lead Growth Claims – Up to 300% lead growth (self-reported)
  • Automated Qualification – AI-driven lead qualification and routing
  • Multi-Channel Capture – Lead generation across 15+ messaging platforms
  • GA4 Analytics – Conversion tracking via Google Analytics 4 callback events
N/A
N/A
Competitive Positioning
  • Primary Advantage – Unmatched multi-LLM orchestration with 30+ models
  • Deployment Flexibility – Only platform offering SaaS, cloud-native, and on-premise
  • Security Credentials – ISO 27001/27701 certification rare among AI platforms
  • Asia-Pacific Focus – Regional data centers, Chinese LLM support, multi-language docs
  • Primary Challenge – NO official language SDKs (Python, JavaScript, Go)
  • ⚠️ Pricing Barrier – $649/month significantly higher than sub-$100 competitors
  • ⚠️ Free Tier Limitation – 3 requests/minute severely constrains production use
  • ⚠️ Market Position – 223rd among 1,893 AI competitors (Tracxn)
  • Pricing Advantage – $700/mo entry undercuts competitors
  • REMi Differentiator – Continuous quality monitoring
  • ⚠️ Integration Gaps – No native Slack/WhatsApp/Teams
  • Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.
  • Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing
  • vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster
  • vs Botsonic/Chatbase – More file formats, source citations, no hidden costs
  • vs LangChain – Production-ready in 2 min vs weeks of development
Limitations & Considerations
  • NO Official Language SDKs – CRITICAL GAP limiting developer adoption
  • iOS/Android WebView Only – Not full native SDK functionality
  • ⚠️ Free Tier Constraints – 3 requests/minute prevents meaningful testing
  • ⚠️ High Entry Price – $649/month creates SMB adoption barrier
  • ⚠️ Credit System Complexity – Multi-dimensional consumption requires careful forecasting
  • ⚠️ Performance Claims Unvalidated – 95% resolution, 90% issue reduction self-reported
  • No Published Benchmarks – Absence of RAGAS scores or analyst coverage
  • HIPAA Absence – No healthcare PHI handling compliance
  • ⚠️ Update Cadence Trade-off – 1-4 updates/year (private) vs monthly (public cloud)
  • ⚠️ NO HIPAA – Healthcare PHI requires sales contact
  • ⚠️ NO Messaging – No Slack, WhatsApp, Teams
  • ⚠️ Acquisition Risk – June 2025 purchase, transitioning
  • Managed service – Less control over RAG pipeline vs build-your-own
  • Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source
  • Real-time data – Requires re-indexing; not ideal for live inventory/prices
  • Enterprise features – Custom SSO only on Enterprise plan
Core Agent Features
N/A
  • Retrieval Agents – Autonomously select optimal retrieval strategies per query
  • Pre-Built Agents (Beta) – Labeler, summarization, graph extraction, Q&A, safety
  • Web Components – <nuclia-search-bar> and <nuclia-chat> for embedding
  • ⚠️ No Proactive Alerts – Monitoring exists but alerting undocumented
  • Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks
  • Multi-Agent Systems – Specialized agents for support, sales, knowledge
  • Memory & Context – Persistent conversation history across sessions
  • Tool Integration – Webhooks + 5,000 Zapier apps for automation
  • Continuous Learning – Auto re-indexing without manual retraining
Additional Considerations
N/A
  • REMi Quality – 30x faster v2, continuous evaluation addresses hallucination
  • Open-Source Trust – NucliaDB 710+ stars enables security audits
  • ⚠️ Recent Acquisition – June 2025 Progress purchase, platform transitioning
  • Time-to-value – 2-minute deployment vs weeks with DIY
  • Always current – Auto-updates to latest GPT models
  • Proven scale – 6,000+ organizations, millions of queries
  • Multi-LLM – OpenAI + Claude reduces vendor lock-in
Customization & Flexibility ( Behavior & Knowledge)
N/A
  • 30+ RAG Parameters – Fine-grained control over retrieval behavior
  • Hybrid Weighting – Balance keyword vs semantic search relevance
  • Agent Autonomy – Auto select optimal strategies per query
  • Prompt Lab – Test configurations with actual data before production
  • Live content updates – Add/remove content with automatic re-indexing
  • System prompts – Shape agent behavior and voice through instructions
  • Multi-agent support – Different bots for different teams
  • Smart defaults – No ML expertise required for custom behavior
R E Mi Evaluation Model ( Core Differentiator)
N/A
  • Proprietary Investment – Addresses hallucination, absent from competitors
  • REMi v2 – Llama 3.2-3B based, 30x faster inference
  • Continuous Quality – Evaluates every interaction across 4 dimensions (0-5)
  • Benchmark Leader – Highest scores vs Vectara on Docmatix 1.4k
N/A
Open- Source Nuclia D B Foundation
N/A
  • GitHub Presence – 710+ stars, AGPLv3 transparency into retrieval
  • Technology Stack – Python and Rust for performance
  • Four Index Types – Document, Full Text, Chunk/Vector, Knowledge Graph
  • 100M Vector Performance – Full ingestion in ~20 minutes
N/A
Multi- Lingual Support
N/A
  • Nuclia Multilingual Embedding – Default model supports multiple languages
  • 60+ Format Processing – Multi-language across PDF, Word, Excel, PPT
  • Auto Transcription – Multi-language speech-to-text for audio/video
N/A
R A G-as-a- Service Assessment
N/A
  • TRUE RAG-AS-A-SERVICE – Core mission is RAG backend
  • LLM Flexibility – 7 providers switchable without changes
  • Open-Source – NucliaDB 710+ stars, AGPLv3
  • Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure
  • API-first – REST API, Python SDK, OpenAI compatibility, MCP Server
  • No-code option – 2-minute wizard deployment for non-developers
  • Hybrid positioning – Serves both dev teams (APIs) and business users (no-code)
  • Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
A I Models
N/A
  • 7 Providers – Anthropic, OpenAI, Google, Meta, Mistral, Cohere
  • Nuclia Private GenAI – 100% data isolation for security
  • OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series
  • Anthropic – Claude 4.5 Opus/Sonnet (Enterprise)
  • Auto-routing – Intelligent model selection for cost/performance
  • Managed – No API keys or fine-tuning required
R A G Capabilities
N/A
  • Agentic RAG Engine – Retrieval agents auto-select strategies
  • Four-Index Hybrid – Document, Full Text, Vector, Knowledge Graph
  • REMi v2 Quality – Continuous evaluation, 30x faster
  • Multimodal – OCR, speech-to-text, 60+ formats
  • GPT-4 + RAG – Outperforms OpenAI in independent benchmarks
  • Anti-hallucination – Responses grounded in your content only
  • Automatic citations – Clickable source links in every response
  • Sub-second latency – Optimized vector search and caching
  • Scale to 300M words – No performance degradation at scale
Use Cases
N/A
  • Enterprise Knowledge – Deploy knowledge bases in minutes
  • Healthcare & Pharma – Medical protocol search
  • Developer RAG Backend – API-first for custom AI apps
  • Customer support – 24/7 AI handling common queries with citations
  • Internal knowledge – HR policies, onboarding, technical docs
  • Sales enablement – Product info, lead qualification, education
  • Documentation – Help centers, FAQs with auto-crawling
  • E-commerce – Product recommendations, order assistance
Security & Compliance
N/A
  • SOC2 Type 2, ISO 27001, GDPR
  • Encryption – AES-256 at rest, TLS in transit
  • ⚠️ NO HIPAA – Healthcare requires sales contact
  • SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance
  • 256-bit AES encryption – Data at rest; SSL/TLS in transit
  • SSO + 2FA + RBAC – Enterprise access controls with role-based permissions
  • Data isolation – Never trains on customer data
  • Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
N/A
  • Fly – $700/mo: 10GB/15K resources
  • Growth – $1,750/mo: 50GB/80K resources
  • Enterprise – Custom: Unlimited, hybrid/on-prem
  • Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot
  • Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot
  • Enterprise: Custom – SSO, dedicated support, custom SLAs
  • 7-day free trial – Full Standard access, no charges
  • Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
N/A
  • Documentation – docs.rag.progress.cloud
  • SDK Ecosystem – Python 21K weekly + JavaScript
  • Progress Support – 2,000+ employee parent company
  • Documentation hub – Docs, tutorials, API references
  • Support channels – Email, in-app chat, dedicated managers (Premium+)
  • Open-source – Python SDK, Postman, GitHub examples
  • Community – User community + 5,000 Zapier integrations

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Final Thoughts

Final Verdict: GPTBots.ai vs Progress Agentic RAG

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

When to Choose GPTBots.ai

  • You value unmatched multi-llm selection: 30+ models across openai, anthropic, google, deepseek, meta, mistral, chinese llms
  • Dynamic model switching mid-conversation enables cost/quality optimization per task
  • ISO 27001/27701 certified with GDPR compliance - rare for AI platforms

Best For: Unmatched multi-LLM selection: 30+ models across OpenAI, Anthropic, Google, DeepSeek, Meta, Mistral, Chinese LLMs

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 GPTBots.ai 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

GPTBots.ai 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

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

For most organizations, the decision between GPTBots.ai 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: February 23, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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Priyansh Khodiyar's avatar

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.

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