GPTBots.ai vs SimplyRetrieve

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 SimplyRetrieve 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 SimplyRetrieve, 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 SimplyRetrieve if: you value completely free and open source

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 SimplyRetrieve

SimplyRetrieve Landing Page Screenshot

SimplyRetrieve is lightweight retrieval-centric generative ai platform. SimplyRetrieve is an open-source tool providing a fully localized, lightweight, and user-friendly GUI and API platform for Retrieval-Centric Generation (RCG). It emphasizes privacy and can run on a single GPU while maintaining clear separation between LLM context interpretation and knowledge memorization. Founded in 2019, headquartered in Tokyo, Japan, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
82/100
Starting Price
Custom

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: AI Chatbot versus RAG Platform. 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

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GPTBots.ai
logo of simplyretrieve
SimplyRetrieve
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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
  • File-Based Workflow – Drop PDFs, DOCX, PPTX, HTML into folder and embed via script
  • GUI Knowledge Editor – Add documents on-the-fly through basic interface
  • Manual Processing – ⚠️ No web crawler or automatic refresh capabilities
  • Local Storage – ✅ All data stays on your machine for air-gapped deployments
  • 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
  • Local Gradio GUI – Python scripts for queries with no pre-built channels
  • No Native Integrations – ⚠️ No Slack, Teams, or website widgets out-of-box
  • Custom Wrappers Required – Build your own connectors to forward messages
  • 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)
  • Open-Source RAG Bot – Runs on local LLMs with streaming responses
  • Single-Turn Q&A – ⚠️ Limited multi-turn conversation and long-term memory
  • Retrieval Tuning Module – Transparency layer showing answer construction process
  • Basic Interactions – No lead capture or human handoff features
  • ✅ #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
  • Plain Gradio Interface – Minimal theming with developer-focused design
  • Source Code Customization – Tweak code or build custom front-end for branding
  • 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
  • WizardVicuna-13B Default – Instruction-tuned open-source model included
  • Hugging Face Compatible – Swap any model with sufficient GPU resources
  • Full Local Control – ✅ No external APIs or cloud dependencies
  • Model Limitations – ⚠️ Smaller models won't match GPT-4 depth
  • 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
  • Python Script Interface – No formal REST API or SDK
  • Subprocess Integration – Call scripts directly or build custom wrapper
  • Open Source Access – ✅ Full code access for modification
  • 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
  • Slower Inference – ⚠️ 3-10+ seconds per reply on single GPU
  • Decent Accuracy – Good when relevant docs found, struggles with complexity
  • FAISS Vector Search – Fast retrieval using Facebook's library
  • 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
  • MIT Licensed – ✅ Completely free with no subscription fees
  • Infrastructure Costs – Pay only for GPU hardware or cloud servers
  • Manual Scaling – ⚠️ Spin up and manage your own hardware
  • 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
  • 100% Local Execution – ✅ Perfect for sensitive data and air-gapped environments
  • No External Transmission – All processing stays on-premises
  • DIY Security – ⚠️ No built-in auth, you implement access controls
  • 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
  • Analysis Tab – Shows retrieved docs and query construction process
  • Console Logging – Basic logs printed to terminal
  • No Dashboard – ⚠️ Add your own monitoring for stats
  • 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
  • Community-Driven – GitHub issues and lightweight documentation
  • Research Foundation – Academic paper (arXiv 2308.03983) on RCG approach
  • No Paid Support – ⚠️ No SLA or enterprise help desk
  • 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
N/A
  • 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)
  • Market Position – MIT open-source local RAG for on-premises deployment
  • Target Customers – Developers experimenting locally, strict data isolation orgs
  • Key Competitors – LangChain, LlamaIndex, PrivateGPT, LocalGPT
  • Advantages – ✅ Free MIT license, 100% local, full model control
  • Best For – Offline environments, GPU infrastructure teams, zero cloud costs
  • 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)
  • Developer-Only Tool – ⚠️ Requires Python, GPU, and technical expertise
  • GPU Infrastructure Required – ⚠️ Dedicated hardware or cloud GPU needed
  • Basic UI – Gradio interface needs custom front-end for production
  • Manual Scaling – ⚠️ No auto-scaling, you manage load balancing
  • No Enterprise Features – Missing multi-tenancy, user management, analytics
  • Slower Inference – ⚠️ 3-10+ seconds vs sub-second cloud APIs
  • 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
Customization & Flexibility ( Behavior & Knowledge)
N/A
  • Deep Parameter Control – Tweak retrieval params, system prompts, knowledge weighting
  • Embedding Model Swap – Replace multilingual-e5-base with alternatives
  • Pipeline Modification – ✅ Full source access for custom logic
  • 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
A I Models
N/A
  • WizardVicuna-13B – Default uncensored instruction-tuned model
  • Any Hugging Face Model – Llama 2, Falcon, Mistral with GPU capacity
  • No Vendor Lock-In – ✅ Complete flexibility without API limits
  • Performance Trade-Off – ⚠️ Open models slower than managed cloud APIs
  • 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
  • Retrieval-Centric Generation – Research-backed approach separating LLM from knowledge memorization
  • Mixtures-of-Knowledge-Bases – Multiple knowledge bases with intelligent routing
  • Explicit Prompt-Weighting – Control retrieved content influence on answers
  • Retrieval Transparency – ✅ Visual debugging showing document selection
  • FAISS Search – Fast approximate nearest neighbor retrieval
  • 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
  • Air-Gapped Environments – ✅ Defense, classified research requiring offline operation
  • Healthcare PHI Compliance – HIPAA organizations needing 100% data isolation
  • RAG Research – Developers learning internals with full transparency
  • Zero-Cost RAG – Teams with GPU infrastructure avoiding subscriptions
  • Data Sovereignty – Strict data residency preventing cloud processing
  • 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
  • Complete Data Isolation – ✅ Ideal for classified, PHI, PII data
  • No Third-Party APIs – Zero external calls to cloud providers
  • Open-Source Auditing – Full code transparency for security reviews
  • Self-Managed Security – ⚠️ You control all security layers
  • 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
  • MIT License – ✅ Free with no subscription or API charges
  • GPU Costs Only – Hardware or cloud compute are sole expenses
  • Unlimited Queries – No per-request pricing or rate limits
  • 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
  • GitHub Repository – Code, docs, and examples at RCGAI/SimplyRetrieve
  • Academic Paper – arXiv 2308.03983 explaining RCG architecture
  • Community Support – GitHub Issues for troubleshooting
  • No Paid Support – ⚠️ Community-driven only, no SLAs
  • 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
Core Agent Features
N/A
  • Retrieval-Centric Generation – Research approach separating reasoning from knowledge
  • Retrieval Tuning Module – ✅ Developer transparency showing document selection
  • Knowledge Base Mixing – Route queries across multiple sources
  • Single-Turn Focus – ⚠️ Limited multi-turn conversation memory
  • No Chatbot UI – ⚠️ Gradio for developers only
  • No Production Features – ⚠️ No lead capture, handoff, or multi-channel support
  • 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
R A G-as-a- Service Assessment
N/A
  • NOT RAG-AS-A-SERVICE – Open-source research project for local experimentation
  • Academic Foundation – Published research tool from RCGAI (arXiv 2308.03983)
  • Self-Hosted Only – ⚠️ No managed infrastructure, APIs, or SLAs
  • Developer-First Design – Python with GPU infrastructure requirements
  • 100% Local Execution – ✅ Perfect for air-gapped and classified environments
  • No Service Features – ⚠️ No auth, multi-tenancy, analytics, or SaaS conveniences
  • 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
Additional Considerations
N/A
N/A
  • 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

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Final Thoughts

Final Verdict: GPTBots.ai vs SimplyRetrieve

After analyzing features, pricing, performance, and user feedback, both GPTBots.ai and SimplyRetrieve 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 SimplyRetrieve

  • You value completely free and open source
  • Strong privacy focus - fully localized
  • Lightweight - runs on single GPU

Best For: Completely free and open source

Migration & Switching Considerations

Switching between GPTBots.ai and SimplyRetrieve 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 SimplyRetrieve begins at custom pricing. 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 SimplyRetrieve 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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