In this comprehensive guide, we compare SimplyRetrieve and YourGPT.ai 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 SimplyRetrieve and YourGPT.ai, 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 SimplyRetrieve if: you value completely free and open source
Choose YourGPT.ai if: you value exceptional omnichannel reach with 50+ pre-built integrations including deep crisp self-learning capability
About SimplyRetrieve
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
About YourGPT.ai
YourGPT.ai is no-code ai chatbot platform with omnichannel deployment and voice ai. No-code-first AI chatbot platform built by Delta4 Infotech (India) emphasizing omnichannel deployment and visual workflow building. Founded June 2022, serves 10,000+ businesses with SOC 2 Type 2 certification and 100+ language support. 4.9/5 Product Hunt rating. Strong widget SDKs (JavaScript/React/React Native/Flutter/iOS/Android) but lacks comprehensive REST API for programmatic agent management. Starting at $19/month with 7-day free trial. Founded in June 2022, headquartered in Chandigarh, India, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
82/100
Starting Price
$19/mo
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: RAG Platform versus AI Chatbot. 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
SimplyRetrieve
YourGPT.ai
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Uses a hands-on, file-based flow: drop PDFs, text, DOCX, PPTX, HTML, etc. into a folder and run a script to embed them.
A new GUI Knowledge-Base editor lets you add docs on the fly, but there’s no web crawler or auto-refresh yet.
Website crawling: URL input or sitemap parsing with dedicated YouTube transcript ingestion for video content
Cloud integrations: Google Drive (Docs and Sheets), Dropbox, Notion (pages, databases, comments), OneDrive, Confluence, Gmail/Outlook
Auto-reindexing: Automatic knowledge base refresh when source content changes in Google Drive/Dropbox/Notion without manual intervention - updated PDFs or new Notion pages sync automatically
Chunking: 1024-character chunks with 200-character overlap (default), configurable via Knowledge Base Nodes for retrieval scope control
Scaling: "Unlimited data sources" advertised on advanced tiers (specific limits undisclosed)
CRITICAL LIMITATION: No NO API for uploading knowledge sources - all data ingestion requires dashboard access, blocking automation workflows
Training accuracy concerns: Note: Users report degradation with massive information sets - Product Hunt critical review states "One of the worse train knowledge features...I have massive information need to deliver but it can't"
Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API.
Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs.
Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text.
View Transcription Guide
Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier.
See Zapier Connectors
Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels
Ships with a local Gradio GUI and Python scripts for queries—no out-of-the-box Slack or site widget.
Want other channels? Write a small wrapper that forwards messages to your local chatbot.
Messaging platforms (50+ integrations): WhatsApp Business API, Facebook Messenger, Instagram (DMs and comments), Telegram, Slack, Discord, Line, email (Gmail/Outlook)
Automation tools: Zapier, Make (formerly Integromat), Pabbly Connect, webhooks, n8n community node (n8n-nodes-yourgpt)
Website embedding: Simple script tag, NPM package (@yourgpt/widget-web-sdk) for React/TypeScript, iFrame support, browser extension for testing
Voice integrations: Google Assistant, Amazon Alexa via PhoneAI
MCP integration: Claude Desktop, Cursor, Windsurf development tools with MCP Marketplace for ready-to-use context extensions (distinctive for AI-assisted coding)
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.
Runs a retrieval-augmented chatbot on open-source LLMs, streaming tokens live in the Gradio UI.
Primarily single-turn Q&A; long-term memory is limited in this release.
Includes a “Retrieval Tuning Module” so you can see—and tweak—how answers are built from the data.
Multi-Lingual Support: 100+ languages with automatic detection and built-in translation - train in one language, respond in 100+ languages without manual configuration
Visual Chatbot Studio: Drag-and-drop editor for conversation flows with intent detection nodes, entity extraction, event triggers, variable management, memory retention without coding
Lead Capture: Automatic conversation-to-lead conversion with targeted qualification questions, CRM contact capture, pre-chat forms, custom data collection fields for sales enablement
Human Handoff: Configurable "Request Human" button, webhook notifications (Slack/Discord/custom URLs), AI Studio workflow triggers based on intent detection or "unable to answer" events
Analytics Dashboard: Response times, resolution rates, satisfaction scores, AI-generated chat summaries, training progress monitoring, conversation logs with private team notes
Interactive Messages: Carousels, buttons, cards, rich media for enhanced user engagement beyond plain text interactions
Confidence-Based Escalation: Automatic human handoff when AI certainty drops below configured thresholds preventing low-quality responses
PhoneAI Voice Agents: 24/7 voice call handling in 100+ languages with appointment scheduling, lead qualification, Google Assistant and Alexa integration for smart speakers
AI Actions System: Client-side function registration enabling AI to trigger JavaScript functions with confirmation dialogs for sensitive actions (8/10 rated differentiator)
CRITICAL LIMITATION - NO Anti-Hallucination Controls: Responses cannot be traced to source documents with citations - no citation attribution, source verification, or confidence scoring vs RAG platforms
Reduces hallucinations by grounding replies in your data and adding source citations for transparency.
Benchmark Details
Handles multi-turn, context-aware chats with persistent history and solid conversation management.
Speaks 90+ languages, making global rollouts straightforward.
Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Customization & Branding
Default Gradio interface is pretty plain, with minimal theming.
For a branded UI you’ll tweak source code or build your own front end.
UI customization: CSS customization with variables for primary color, font family, message background/text colors for comprehensive theming control
White-labeling: Custom domain deployment and complete branding removal available on higher tiers; agency program for reselling with 100% pricing control for partners
Custom domain: Custom domain deployment on higher tiers with full white-labeling capabilities; specifics require higher-tier plan or agency program enrollment
Design flexibility: Domain restrictions control which websites can embed widget with rate limiting and access control; bot persona creation including name, avatar, channel-specific greeting texts, icebreaker questions
Mobile customization: React Native (@yourgpt/chatbot-reactnative), Flutter, Android native, iOS native mobile SDKs enable branded mobile app development; mobile-specific customization follows desktop configuration inheritance
Role-based access: Team member invitations, client/project management for agencies, permission management (specific RBAC granularity undocumented); IP blocking noted as "coming soon" for security enhancement
Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand.
White-label Options
Provides a no-code dashboard to set welcome messages, bot names, and visual themes.
Lets you shape the AI’s persona and tone using pre-prompts and system instructions.
Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options
Defaults to WizardVicuna-13B, but you can swap in any Hugging Face model if you have the GPUs.
Full control over model choice, though smaller open models won’t match GPT-4 for depth.
Node.js SDK: @yourgpt/llmspark-nodejs for LLM Spark platform with streaming responses and search functionality
MISSING PROGRAMMATIC CAPABILITIES: No NO API for creating agents, No NO endpoint for uploading knowledge sources, No NO direct RAG querying REST API, No NO Python SDK, No NO documented rate limits/quotas
Documentation quality: Strong for widget setup (step-by-step with screenshots), weak for API reference and advanced use cases, no cookbook/tutorial content beyond basic installation
Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
API Documentation
Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Performance & Accuracy
Open-source models run slower than managed clouds—expect a few to 10 + seconds per reply on a single GPU.
Accuracy is fine when the right doc is found, but smaller models can struggle on complex, multi-hop queries.
Response time: Real-time messaging optimized for sub-second delivery across 50+ channels; exact latency benchmarks not publicly disclosed but users report responsive performance in 4.9/5 Product Hunt and 4.0/5 G2 reviews
Accuracy metrics: No published accuracy benchmarks or quantitative metrics; mixed user feedback with Product Hunt critical review citing "One of the worse train knowledge features...massive information need but can't deliver" vs positive G2 reviews praising precision on smaller knowledge bases
Context retrieval: Configurable 1024-character chunks with 200-character overlap (default); Knowledge Base Nodes control retrieval scope; cosine similarity matching with 0-1 scoring; no published retrieval accuracy benchmarks or hybrid search capabilities
Scalability: 10,000+ businesses served (bootstrapped startup claim, unverified); "unlimited data sources" advertised on advanced tiers (specific limits undisclosed); auto-reindexing when source content changes in Google Drive/Dropbox/Notion
Reliability: No public SLA or uptime guarantees on self-serve plans; Enterprise yearly contracts include dedicated support but specific uptime % requires sales engagement; users report "slow customer service" (Product Hunt) vs "great contact with support" (G2) - potential inconsistency
Benchmarks: No published performance benchmarks comparing retrieval speed, accuracy, hallucination rates, or latency against competitors; platform validation through Product Hunt launches (301 upvotes LLM Spark, 220 upvotes Chatbot Studio)
Quality indicators: 4.9/5 Product Hunt rating, 4.0/5 G2 Reviews; users praise customer support quality, ease of use, customization flexibility; criticisms for training accuracy with large knowledge bases, API limitations, pricing transparency
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.
Lets you tweak everything—KnowledgeBase weight, retrieval params, system prompts—for deep control.
Encourages devs to swap embedding models or hack the pipeline code as needed.
Knowledge Base Management: Automatic refresh every 24 hours for all connected cloud sources (Google Drive, OneDrive, Dropbox, Notion, SharePoint) with manual 'Resync Knowledge Base' for immediate updates
Auto-Reindexing: Automatic knowledge base refresh when source content changes in Google Drive/Dropbox/Notion without manual intervention - updated PDFs or new Notion pages sync automatically
Chunking Configuration: 1024-character chunks with 200-character overlap (default), configurable via Knowledge Base Nodes for retrieval scope control
Temperature Controls: 0-1 scale for response creativity tuning - lower values for factual accuracy, higher for creative responses
Previous Message Limit: Configurable conversation history retention for context-aware responses across conversation turns
Widget Customization: CSS variables for primary color, font family, message background/text colors with GitHub template repository: Cloud, MonoChrome, NeoBrutalism, Obsidian, Herbie themes
White-Labeling (Higher Tiers): Custom domain deployment, complete branding removal, agency program for reselling with 100% pricing control on professional/advanced tiers
Bot Persona Creation: Name, avatar, channel-specific greeting texts, icebreaker questions for brand voice customization
Domain Restrictions: Control which websites can embed widget with rate limiting and access control for security
Role-Based Access: Team member invitations, client/project management for agencies, permission management (specific RBAC granularity undocumented)
CRITICAL LIMITATION - No Programmatic Knowledge API: All knowledge base management requires UI interaction - no API for document upload, Q&A pair management, or automated updates
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.
Pricing & Scalability
Free, MIT-licensed open source—no fees, but you supply the GPUs or cloud servers.
Scaling means spinning up more hardware and managing it yourself.
Agency program: Custom partner pricing with white-labeling and reselling capabilities (100% pricing control)
PRICING CONCERNS: Note: User reports "unexplained add-ons after a traffic spike" suggesting undocumented overage costs - transparency issue vs competitors
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
Entirely local: all docs and chat data stay on your own machine—great for sensitive use cases.
No built-in auth or enterprise security—lock things down in your own deployment setup.
SOC 2 Type 2: Full certification (uncommon for bootstrapped 2022 startup - competitive advantage)
GDPR Compliant: EU-hosted with Stockholm, Sweden data center for European data residency
HIPAA options: Healthcare compliance configurations available
Encryption: TLS for transit, AES-256 at rest, end-to-end encryption for enterprise features
Privacy controls: Zero-day retention configured with model providers, authorized personnel-only data access, purpose limitation for processing
Enterprise features: Custom SSO integration (JWT token-based), Data Protection Officer (dpo@yourgpt.ai), security incident response plan
Track record: Zero major security issues in 2 years claimed
SECURITY GAP: No NO MFA (multi-factor authentication) - noted in G2 reviews as concern for security-conscious organizations despite SOC 2 certification
Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption.
Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private.
Security Certifications
Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Observability & Monitoring
An “Analysis” tab shows which docs were pulled and how the query was built; logs print to the console.
No fancy dashboard—add your own logging or monitoring if you need broader stats.
Conversation logs: Full interaction history with searchability and filtering
AI training progress: Knowledge base learning status and accuracy monitoring
User engagement analytics: Behavior patterns, session data, conversation flow analysis
AI-generated chat summaries: Automatic conversation summarization for quick review
Team collaboration: Private notes on conversations for internal coordination
Unanswered query tracking: Knowledge gap identification for continuous improvement
LLM expense tracking: Per-session usage and prompt cost breakdowns for credit consumption visibility
LIMITATION: Real-time alerts and monitoring capabilities not explicitly documented
Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status.
Lets you export logs and metrics via API to plug into third-party monitoring or BI tools.
Analytics API
Provides detailed insights for troubleshooting and ongoing optimization.
Support & Ecosystem
Open-source on GitHub; support is community-driven via issues and lightweight docs.
Smaller ecosystem: you’re free to fork or extend, but there’s no paid SLA or enterprise help desk.
Customer support quality: Highly praised in reviews - G2: "great contact with support", "individual customization", Product Hunt: "reactive customer support enabled quick pilot build-out"
Documentation: docs.yourgpt.ai (strong for widget setup, weak for API/advanced use cases)
Help center: help.yourgpt.ai for self-service troubleshooting
Discord community: discord.com/invite/57C9uTkD6g (primary community channel)
Email support: support@yourgpt.ai
Phone support: +911725043532 (India-based)
Enterprise: Dedicated support with higher-tier plans
GAPS: No NO public community forums beyond Discord, No LIMITED cookbook/tutorial content for advanced implementations, developers report "too long on Discord support" for complex use cases
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.
Additional Considerations
Great for offline / on-prem labs where data never leaves the server—perfect for tinkering.
Takes more hands-on upkeep and won’t match proprietary giants in sheer capability out of the box.
Platform Classification: NO-CODE CHATBOT PLATFORM with RAG capabilities, NOT a pure RAG-as-a-Service API platform - widget-centric embedding approach vs headless API consumption
Target Audience: Non-technical business users configuring chatbots via dashboard vs developers requiring programmatic control and API-first architecture
Primary Strength: 50+ omnichannel integrations with PhoneAI voice agents (100+ languages) and Visual Chatbot Studio enabling 2-minute setup without coding vs 15-60 minutes in API-centric platforms
Unique Differentiators: PhoneAI 24/7 voice call handling with appointment scheduling and lead qualification (unavailable in most RAG platforms), MCP integration for Claude Desktop/Cursor/Windsurf developer tools
SOC 2 Type 2 Certified: Full certification uncommon for bootstrapped 2022 startup - competitive advantage with zero major security issues in 2+ years, GDPR compliant with Stockholm Sweden data center
Crisp Self-Learning Integration: Unique capability to train chatbot from previous conversation data in Crisp helpdesk (9/10 rated differentiator) unavailable in competing no-code platforms
CRITICAL LIMITATION - Limited REST API: Only session management and message sending endpoints available - NO agent creation API, NO knowledge upload API, NO direct RAG querying vs comprehensive REST APIs in competitors
CRITICAL LIMITATION - Dashboard Dependency: All data ingestion requires dashboard access blocking automation workflows - cannot programmatically upload documents or manage knowledge bases
CRITICAL LIMITATION - No Automatic Model Routing: Manual model selection per chatbot without dynamic routing based on query complexity or cost optimization (rated 3/10 for model flexibility)
CRITICAL LIMITATION - No Python SDK: Missing backend developer toolkit with only JavaScript/TypeScript SDKs available - major gap for data science and backend teams requiring programmatic control
Training Accuracy Concerns: Product Hunt critical review: "One of the worse train knowledge features...massive information need but can't deliver" - potential degradation with large knowledge bases noted by users
Pricing Transparency Issues: $19/month website claim vs $99/month GetApp listing creates confusion, user reports "unexplained add-ons after traffic spike" suggesting undocumented overage charges
Use Case Mismatch: Excellent for no-code omnichannel deployment and voice AI; inappropriate for developers requiring API-first RAG control, programmatic workflows, or backend automation
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.
No- Code Interface & Usability
Basic Gradio UI is developer-focused; non-tech users might find the settings overwhelming.
No slick, no-code admin—if you need polish or branding, you'll build your own front end.
Visual builder: Visual Chatbot Studio with drag-and-drop editor for conversation flows; intent detection nodes, entity extraction, event triggers, variable management, memory retention without coding requirements
Setup complexity: 2-minute setup claimed for basic deployment; NPM package (@yourgpt/widget-web-sdk) for React/TypeScript integration, simple script tag for website embedding, browser extension for testing
Learning curve: 4.9/5 Product Hunt rating, 4.0/5 G2 Reviews; users praise "ease of use" and "great contact with support" enabling "reactive customer support enabled quick pilot build-out"; docs.yourgpt.ai strong for widget setup but weak for API/advanced use cases
Pre-built templates: Industry templates for e-commerce, healthcare, finance, general helpdesk reduce time-to-deployment; pre-built scenarios available through Visual Chatbot Studio
No-code workflows: Real-time testing with built-in emulation for workflow validation before deployment; one-click deployment to production channels from dashboard; automatic versioning with rollback capabilities (specifics undocumented); AI Studio for custom workflow creation with intent-based triggers and event handling
User experience: AI Copilot in YourGPT 2.0 describes needs in plain English to create agents automatically - natural language chatbot generation (8.5/10 rated innovation); multimodal agents support text, voice, and image understanding
Target audience advantage: Optimized for non-technical users vs competitor platforms requiring developer involvement; 50+ omnichannel integrations with no-code installation across messaging, helpdesk, e-commerce ecosystems
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
Market position: MIT-licensed open-source local RAG solution running entirely on-premises with open-source LLMs (no cloud dependency), designed for developers and tinkerers
Target customers: Developers experimenting with RAG locally, organizations with strict data isolation requirements (healthcare, government, defense), and teams wanting complete control without cloud costs or vendor dependencies
Key competitors: LangChain/LlamaIndex (frameworks), PrivateGPT, LocalGPT, and cloud RAG platforms for teams needing simplicity
Competitive advantages: Completely free and open-source (MIT license) with no fees or subscriptions, 100% local execution keeping all data on-premises, full control over model choice (any Hugging Face model), Python-based with full source code access for customization, "Retrieval Tuning Module" for transparency into answer generation, and zero external dependencies beyond local compute
Pricing advantage: Completely free with MIT license; only cost is GPU hardware or cloud compute; best value for teams with existing GPU infrastructure wanting to avoid subscription costs; requires technical expertise and hands-on maintenance
Use case fit: Ideal for offline/air-gapped environments requiring complete data isolation (defense, healthcare with strict PHI requirements), developers learning RAG internals and experimenting locally, and organizations with GPU infrastructure wanting zero cloud costs and complete control over LLM stack without vendor dependencies
vs Chatbase: YourGPT emphasizes broader multi-channel support (50+ vs Chatbase's narrower focus), dedicated mobile apps, SOC 2 certification, 24/7 live support, PhoneAI voice agents
vs CustomGPT: YourGPT highlights more training source options (cloud integrations), free trial availability, omnichannel deployment, voice AI capabilities; CustomGPT counters with comprehensive REST API, Python SDK, programmatic control, transparent pricing
vs Botpress: YourGPT's PhoneAI and MCP integration differentiate against Botpress's enterprise focus; Botpress offers stronger workflow automation and API depth
vs SiteGPT: YourGPT's 50+ integrations and voice AI vs SiteGPT's website-focused simplicity and ease of use
Market niche: No-code omnichannel platform for business users needing voice AI and extensive integrations without developer dependency
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
Hugging Face Compatibility: Swap in any Hugging Face model with sufficient GPU resources (Llama 2, Falcon, Mistral, etc.)
Full Local Control: Models run entirely on-premises with no external API calls or cloud dependencies
Embedding Model: Default multilingual-e5-base for retrieval with option to swap for other embedding models
Model Customization: Fine-tune or quantize models for specific use cases and hardware constraints
No Vendor Lock-In: Complete flexibility to use any open-source LLM without subscription fees or API limits
GPU Requirements: Smaller models may not match GPT-4 depth but enable complete data isolation and zero operational costs
OpenAI Models: GPT-5, GPT-4.1, GPT-4 Turbo, GPT-4, GPT-3.5, O3, O1 with full access to latest releases
Anthropic Claude: Claude Sonnet 4, Claude 3.7, complete Claude series for advanced reasoning and long-context tasks
Google Models: Gemini 2.5 Pro, Gemini, PaLM for multimodal and search-enhanced capabilities
Meta Llama: Llama 4, Llama 3, Llama 2 open-source models for cost-effective deployments
DeepSeek: DeepSeek R1, DeepSeek v3 for specialized reasoning and code generation tasks
Credit-Based Pricing: GPT-3.5 (1x credits), GPT-4o (5x), GPT-4 Turbo (10x), GPT-4 (20x) - proportional token consumption for cost control
BYOLLM (Enterprise): Bring Your Own LLM on enterprise yearly contracts for complete model control and custom deployments
Model Flexibility: Wide selection spanning cutting-edge proprietary (GPT-5, Claude Sonnet 4) to cost-effective open-source (Llama series)
Note: No Automatic Routing: Manual model selection per chatbot - no dynamic routing based on query complexity or cost optimization unlike competitors
Latest Model Support: Rapid integration of newest releases including GPT-5, Claude Sonnet 4, Gemini 2.5 Pro, DeepSeek R1
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
Retrieval-Centric Generation (RCG): Research-backed approach explicitly separating LLM roles from knowledge memorization for more efficient implementation
Retrieval Tuning Module: Transparency into answer generation showing which documents were retrieved and how queries were built
Mixtures-of-Knowledge-Bases (MoKB): Multiple selectable knowledge bases with intelligent routing between knowledge sources
Explicit Prompt-Weighting (EPW): Control over retrieved knowledge base weighting in final answer generation
FAISS Vector Search: Fast approximate nearest neighbor search using Facebook's FAISS library for efficient retrieval
On-the-Fly Knowledge Base Creation: Drag-and-drop documents in GUI to create knowledge bases without manual preprocessing
Analysis Tab: Visual debugging showing document retrieval process and query construction for transparency
Multiple Document Support: Handles PDFs, text files, DOCX, PPTX, HTML, and other common formats
Architecture: "Engineered layers for orchestration and adaptive tuning" with configurable chunking and retrieval strategies (no published RAGAS benchmarks)
Chunking Strategy: Default 1024-character chunks with 200-character overlap, configurable via Knowledge Base Nodes for retrieval scope control
Similarity Matching: Cosine similarity scoring (0-1 scale) between query vectors and document embeddings for relevance ranking
Temperature Controls: 0-1 scale for response creativity tuning - lower values for factual accuracy, higher for creative responses
Retrieval Scope Management: Knowledge Base Nodes system limits which sources participate in retrieval for focused answers
Context Window Configuration: "Previous Message Limit" settings control conversation history retention for context-aware responses
Self-Learning Mechanisms: Thumbs up/down feedback collection, unanswered query tracking for knowledge gap identification, Crisp integration training on historical conversations
Auto-Reindexing: Automatic knowledge base refresh when source content changes in Google Drive/Dropbox/Notion without manual intervention
Multi-Source Integration: Unlimited data sources advertised on advanced tiers with automatic synchronization from cloud platforms
Note: Accuracy Concerns: Mixed user feedback - Product Hunt critical review: "One of the worse train knowledge features...massive information need but can't deliver" vs positive G2 reviews praising precision on smaller knowledge bases
Note: No Published Benchmarks: No RAGAS scores, retrieval accuracy metrics, or third-party validation published unlike competitors with transparent performance data
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
Air-Gapped Environments: Defense, classified research, and secure facilities requiring complete offline operation without external connectivity
Healthcare PHI Compliance: HIPAA-regulated organizations needing 100% data isolation for protected health information
RAG Research & Education: Developers learning RAG internals with full visibility into retrieval and generation processes
Local Experimentation: Prototype RAG applications locally before committing to cloud infrastructure and subscription costs
Data Sovereignty: Organizations with strict data residency requirements preventing cloud storage or processing
Zero-Cost RAG: Teams with existing GPU infrastructure wanting to avoid subscription fees for RAG capabilities
Custom Model Development: Research teams fine-tuning and testing custom LLMs and embedding models for specific domains
Customer Support Automation: 24/7 instant response handling with 100+ language support, high-volume query management, after-hours coverage, FAQ automation, order status tracking, basic triage before human escalation
Lead Generation & Qualification: Real-time visitor engagement with pre-qualification questions, conversation-to-lead conversion, CRM contact capture, B2B prospect scoring through natural conversation flows
Sales Assistance: Product recommendations, pricing information delivery, demo scheduling, post-sales support with order tracking and returns handling
E-commerce Applications: Shopping assistance, inventory queries, personalized recommendations, cart abandonment recovery, order status updates, return/refund processing automation
Multilingual Global Support: Train chatbot in one language, automatically respond in 100+ languages with built-in translation - eliminates need for multiple language-specific support teams
Healthcare Applications: HIPAA compliance configurations available for patient engagement, appointment scheduling, basic medical inquiries with appropriate disclaimers
Financial Services: Account inquiries, transaction support, product information delivery with compliance-aware response filtering
Education & Training: Course information delivery, enrollment assistance, student support automation, FAQ handling for educational institutions
Real-World Deployments: 10,000+ businesses claimed (unverified) including Headshots.dk (photography), gaming server companies, educational institutions, seasonal tourism businesses
Developer Use Cases: MCP integration for Claude Desktop, Cursor, Windsurf - chatbots accessible within coding IDEs for documentation assistance, code explanation, debugging support
Voice Applications (PhoneAI): 24/7 voice call handling in 100+ languages, appointment scheduling, lead qualification, Google Assistant and Alexa integration for smart speaker interactions
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)
Compliance Flexibility: Can be configured to meet HIPAA, FedRAMP, GDPR, or other regulatory requirements through deployment architecture
SOC 2 Type 2 Certified: Full certification (uncommon for bootstrapped 2022 startup) - independently audited security controls and operational procedures
GDPR Compliant: European Union data protection compliance with Stockholm, Sweden data center for EU data residency requirements
HIPAA Configurations Available: Healthcare compliance options for protected health information (PHI) handling and patient data security
Encryption Standards: TLS 1.2+ for data in transit, AES-256 encryption at rest, end-to-end encryption available on enterprise features
Data Privacy Controls: Zero-day retention configured with model providers (data not used for AI training), authorized personnel-only data access, purpose limitation for processing
Enterprise Authentication: Custom SSO integration available with JWT token-based authentication for seamless identity management
Data Protection Officer: Designated DPO available at dpo@yourgpt.ai for GDPR compliance inquiries and data subject rights requests
Security Incident Response: Documented security incident response plan with defined escalation procedures and notification protocols
Track Record: Zero major security issues in 2+ years of operation (company claim)
Domain Security: Domain restrictions control which websites can embed widget, rate limiting, access control for usage monitoring
IP Blocking: Noted as "coming soon" feature for enhanced network-level security controls
Note: No MFA Support: Multi-factor authentication not available - noted in G2 reviews as security concern despite SOC 2 certification
Data Residency: EU (Stockholm) data center option available for European customers requiring regional data storage
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
Completely Free: MIT open-source license with no subscription fees, API charges, or usage limits
Infrastructure Costs Only: GPU hardware or cloud compute (AWS/GCP/Azure GPU instances) are the only expenses
No Per-Query Charges: Unlimited queries without per-request pricing or rate limits
No Vendor Fees: Zero payments to SaaS providers or LLM API vendors (OpenAI, Anthropic, etc.)
GPU Requirements: Single GPU sufficient for development; scale hardware based on throughput needs
Open-Source Ecosystem: Leverage free Hugging Face models, FAISS library, and PyTorch without licensing costs
Best Value For: Teams with existing GPU infrastructure or ability to provision cloud GPU instances economically
Essential Plan: $49/month for 2 chatbots, 200 webpages, 20 documents, 10M AI credits, 3 team members - entry-level tier
Professional Plan: Enhanced features with higher limits for growing businesses (specific pricing undisclosed on public sites)
Advanced Plan: $399/month includes 10 chatbots, 2000 webpages, 500 documents, 100M AI credits, 10 members, full AI Studio access, Functions, API, Custom Branding, Domain & Roles
Enterprise Plan: Custom pricing for yearly contracts with dedicated support, SSO, custom development, BYOLLM (Bring Your Own LLM), priority feature access
Free Trial: 7-day trial with no credit card required (competitive advantage vs CustomGPT's demo-based approach)
Credit-Based Consumption: Model multipliers determine usage - GPT-3.5 (1x), GPT-4o (5x), GPT-4 Turbo (10x), GPT-4 (20x) for predictable cost management
Agency Program: Custom partner pricing with 100% pricing control, white-labeling, reselling capabilities for agencies and MSPs
White-Labeling: Custom domain deployment and complete branding removal available on higher tiers (Professional+)
Note: Pricing Transparency Issues: User reports "unexplained add-ons after traffic spike" suggesting undocumented overage costs - Product Hunt feedback
Note: Customer Service Quality: Mixed reviews - Product Hunt mentions "slow customer service" vs G2 praises "great contact with support" indicating potential inconsistency
Payment Terms: Monthly billing available on all self-serve plans; enterprise requires annual commitment
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
GitHub Repository: Open-source at github.com/RCGAI/SimplyRetrieve with code, documentation, and examples
Research Paper: Academic publication on arXiv (2308.03983) explaining RCG approach and architecture
Community Support: GitHub Issues for bug reports, feature requests, and community troubleshooting
Lightweight Documentation: README and docs directory with setup instructions and usage examples
No Paid Support: Community-driven support only; no SLAs or enterprise help desk available
Code Examples: Example scripts and Jupyter notebooks demonstrating core functionality
Academic Background: Built on established libraries (Hugging Face, Gradio, PyTorch, FAISS) with extensive external documentation
Customer Support Quality: Highly praised in G2 reviews - "great contact with support", "individual customization", "reactive customer support enabled quick pilot build-out"
Mixed Response Times: Product Hunt mentions "slow customer service" vs G2 positive feedback - potential inconsistency based on plan tier or issue complexity
Documentation Portal: docs.yourgpt.ai with strong widget setup guides (step-by-step with screenshots), weak API reference and advanced use case documentation
Help Center: help.yourgpt.ai for self-service troubleshooting and knowledge base articles
Discord Community: discord.com/invite/57C9uTkD6g for peer support and direct access to development team
Email Support: support@yourgpt.ai for technical assistance and account inquiries
Phone Support: +911725043532 (India-based) for voice support on higher tiers
Enterprise Support: Dedicated support representatives, priority queues, faster response times, custom training on yearly contracts
Documentation Strengths: Excellent widget embedding guides, React/TypeScript SDK documentation with code examples, mobile SDK setup instructions
Documentation Gaps: Limited API reference beyond basic session/message endpoints, no comprehensive cookbook for advanced implementations, minimal Python/backend developer resources
User Satisfaction: 4.9/5 Product Hunt rating, 4.0/5 G2 Reviews - strong overall satisfaction with ease of use and customization flexibility
Product Hunt Success: 5 products launched - LLM Spark (301 upvotes, Nov 2023), Chatbot Studio (220 upvotes, Feb 2024) validate market interest
Note: No Public Forums: No community forums beyond Discord - limited searchable knowledge base vs competitors with comprehensive community resources
Note: Developer Feedback: Some developers report "too long on Discord support" for complex technical issues requiring deeper investigation
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
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
Developer-Only Tool: Requires Python expertise, GPU knowledge, and technical setup—not suitable for non-technical users
GPU Infrastructure Required: Needs dedicated GPU hardware or cloud GPU instances with associated costs and management overhead
Basic UI: Gradio interface is functional but not polished—requires custom front-end development for production use
Limited Scalability: Scaling requires manual infrastructure management and load balancing vs auto-scaling cloud platforms
No Enterprise Features: Missing multi-tenancy, user management, advanced analytics, and production-grade monitoring
Slower Inference: Open-source models on single GPU (few to 10+ seconds per reply) vs sub-second cloud API responses
Manual Knowledge Base Updates: No automatic web crawling, syncing, or scheduled reindexing capabilities
No Pre-Built Integrations: Requires custom development to integrate with Slack, websites, or support platforms
Limited Context Memory: Primarily single-turn Q&A with minimal conversation history retention
Maintenance Burden: User responsible for updates, model management, troubleshooting, and infrastructure maintenance
NOT a Pure RAG API Platform: No-code chatbot platform with RAG capabilities - widget-centric embedding approach vs headless API consumption for developers
Critical API Limitations: No agent creation API, no knowledge upload API, no direct RAG querying endpoints - only session management and message sending available
Dashboard Dependency: All data ingestion requires dashboard access - no programmatic document upload or knowledge base management APIs
No Automatic Model Routing: Manual model selection per chatbot - no dynamic routing based on query complexity or cost optimization
No Python SDK: Missing backend developer toolkit - only JavaScript/TypeScript SDKs available (major gap for data science and backend teams)
Training Accuracy Concerns: Product Hunt critical feedback: "One of the worse train knowledge features...massive information need but can't deliver" - potential degradation with large knowledge bases
Pricing Transparency Issues: User reports "unexplained add-ons after traffic spike" suggesting undocumented overage charges - lack of clarity on cost controls
Pricing Inconsistency: $19/month website claim vs $99/month GetApp listing creates confusion - unclear actual entry price point
No MFA Support: Multi-factor authentication unavailable despite SOC 2 certification - security gap noted by G2 reviewers
IP Blocking Coming Soon: Network security feature still in development - not yet available for production deployments
Limited API Documentation: Weak API reference beyond basic endpoints - no comprehensive developer cookbook or advanced tutorials
Support Inconsistency: Mixed reviews on response times - "slow customer service" (Product Hunt) vs "great support" (G2) suggests tier-dependent quality
No Published Benchmarks: No RAGAS scores, retrieval accuracy metrics, performance benchmarks, or third-party validation published
Developer Fit: Strong for frontend widget integration (JavaScript/React/mobile), weak for backend automation and programmatic workflows
Target Audience: Optimized for non-technical business users configuring chatbots via dashboard - not ideal for developers requiring API-first control
Rate Limits Undocumented: No published API rate limits or usage quotas - unclear production capacity planning requirements
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
Retrieval-Centric Generation (RCG): Research-backed approach separating LLM reasoning capabilities from knowledge memorization—more efficient than traditional RAG architectures
Retrieval Tuning Module: Developer-focused transparency layer showing which documents were retrieved, how queries were constructed, and how answers were generated
Knowledge Base Mixing (MoKB): Route queries across multiple selectable knowledge bases with intelligent source selection and weighting
Explicit Prompt Weighting (EPW): Fine-grained control over retrieved knowledge base influence in final answer generation
Single-Turn Q&A Focus: Primarily designed for single-turn question answering—limited multi-turn conversation and context memory
Analysis Tab Transparency: Visual debugging interface showing document retrieval process and query construction for answer inspection
Local Agent Execution: All agent processing happens on-premises with zero external API calls—complete control over agent behavior and data
LIMITATION - No Chatbot UI: Gradio interface for developers only—no polished conversational interface for end users or production deployment
LIMITATION - No Lead Capture: No built-in lead generation, email collection, or CRM integration capabilities—manual implementation required
LIMITATION - No Human Handoff: No escalation workflows, live agent transfer, or fallback mechanisms for complex queries—developer must build these features
LIMITATION - No Multi-Channel Support: No native integrations with Slack, Teams, WhatsApp, or website widgets—requires custom wrapper development
LIMITATION - No Session Management: Stateless interactions without conversation history tracking or multi-turn context retention
Multi-lingual support: 100+ languages with automatic detection and built-in translation - train in one language, respond in 100+ languages
Visual Chatbot Studio: Drag-and-drop editor for conversation flows with intent detection nodes, entity extraction, event triggers, variable management, memory retention
Lead capture: Automatic conversation-to-lead conversion with targeted qualification questions, CRM contact capture, pre-chat forms, custom data collection fields
Human handoff: Configurable "Request Human" button, webhook notifications (Slack/Discord/custom URLs), AI Studio workflow triggers based on intent detection or "unable to answer" events, full conversation context transfer
Analytics: Dashboard tracking response times, resolution rates, satisfaction scores, AI-generated chat summaries, training progress monitoring, conversation logs with private team notes
Interactive messages: Carousels, buttons, cards, rich media for enhanced user engagement
Confidence-based escalation: Automatic human handoff when AI certainty drops below configured thresholds
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: NOT A RAG-AS-A-SERVICE PLATFORM - Open-source academic research project for local Retrieval-Centric Generation experimentation and learning
Core Mission: Provide localized, lightweight, user-friendly interface to Retrieval-Centric Generation (RCG) approach for machine learning community exploration and research
Academic Foundation: Published research tool from RCGAI with arXiv paper (2308.03983) explaining RCG methodology and architectural design decisions
Target Market: Researchers, developers, and organizations experimenting with RAG locally without cloud dependencies—NOT commercial service users
Self-Hosted Infrastructure: MIT-licensed tool requiring user-managed GPU hardware or cloud compute—no managed infrastructure, APIs, or service-level agreements
Developer-First Design: Python-based with Gradio GUI and script execution—intended for technical users comfortable with GPU infrastructure and model management
RAG Implementation: Retrieval-Centric Generation (RCG) philosophy emphasizing retrieval over memorization—FAISS vector search with open-source LLMs (WizardVicuna-13B default, any Hugging Face model supported)
API Availability: NO formal REST API or SDKs—interaction via Python scripts and local Gradio interface requiring subprocess calls or custom wrappers
Data Privacy Advantage: 100% local execution with zero external transmission—ideal for classified, PHI, PII, or confidential data requiring air-gapped processing
Pricing Model: Completely free (MIT license) with no subscription fees—only cost is GPU hardware or cloud compute infrastructure
Support Model: Community-driven GitHub Issues and lightweight documentation—no paid support, SLAs, or customer success teams
LIMITATION vs Managed Services: NO managed infrastructure, automatic scaling, production-grade monitoring, enterprise security controls, or commercial support—users responsible for all operational aspects
LIMITATION - No Service Features: NO authentication systems, multi-tenancy, user management, analytics dashboards, or SaaS conveniences—pure research/development tool
Comparison Validity: Architectural comparison to commercial RAG-as-a-Service platforms like CustomGPT.ai is MISLEADING—SimplyRetrieve is open-source research tool for on-premises experimentation, not production service
Use Case Fit: Perfect for offline/air-gapped RAG research, developers learning RAG internals with full transparency, organizations with strict data isolation requirements (defense, healthcare PHI compliance), and teams wanting zero cloud costs with existing GPU infrastructure
Platform classification: NO-CODE CHATBOT PLATFORM with RAG capabilities, NOT a pure RAG-as-a-Service API platform
Architecture philosophy: Widget-centric embedding approach vs headless API consumption
Target audience: Non-technical business users configuring chatbots via dashboard vs developers requiring programmatic control
RAG implementation: Standard chunking, cosine similarity, configurable retrieval scope - no proprietary evaluation models like competitors
API limitations: Session/message endpoints only - NO agent creation API, NO knowledge upload API, NO direct RAG querying
Developer fit: Strong for frontend widget integration (JavaScript/React/mobile SDKs), weak for backend automation and programmatic workflows
Competitive positioning: Against CustomGPT: YourGPT excels in omnichannel reach and voice AI, CustomGPT excels in API completeness and developer control
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
24/7 voice call handling: Natural conversation AI for customer calls in 100+ languages with automatic detection and translation
Appointment scheduling: Voice-based calendar integration for booking management via phone interactions
Lead qualification: Automated lead scoring and qualification through phone conversations before human handoff
Smart speaker integration: Google Assistant and Amazon Alexa compatibility extends voice AI beyond phone calls
Unique positioning: Differentiates YourGPT from text-only chatbot competitors - voice AI channel unavailable in most RAG platforms (8.5/10 rated differentiator)
Click-to-Call demo: Next.js 15/React 19 implementation available on GitHub showcasing AI-powered outbound calling
White-labeling (higher tiers): Custom domain deployment, complete branding removal, agency program for reselling with 100% pricing control
Domain restrictions: Control which websites can embed the widget with rate limiting and access control
Role-based access: Team member invitations, client/project management for agencies, permission management (specific RBAC granularity undocumented)
IP blocking: Noted as "coming soon" for security enhancement
N/A
A I Actions System ( Differentiator)
N/A
Client-side function registration: Register JavaScript functions that AI can trigger with sdk.registerAIAction() for custom business logic
Confirmation dialogs: Built-in helpers.confirm() for user approval before executing sensitive actions (e.g., file deletion, payment processing)
Action arguments parsing: Structured data extraction from AI decisions via JSON.parse(data.action[0].function.arguments)
Response feedback: helpers.respond() sends action results back to conversation context for AI awareness
Use cases: File operations, database updates, third-party API calls, payment processing, custom workflow triggers
Unique positioning: More sophisticated than basic webhook callbacks - enables rich client-side interactivity (7.5/10 rated differentiator)
N/A
Workflow Automation
N/A
AI Studio: Custom workflow creation through dashboard with intent-based triggers, event handling, entity extraction, variable management across conversation steps
n8n community node: n8n-nodes-yourgpt for visual workflow automation connecting YourGPT with 400+ n8n integrations
Webhooks: Event subscription for custom integrations (specific event types undocumented)
Third-party automation: Zapier, Make (Integromat), Pabbly Connect for broader automation ecosystems
AI Actions system: Client-side function registration for custom business logic triggered by AI decisions
LIMITATION: Dashboard-centric workflow configuration vs API-driven automation competitors offer
N/A
R A G Implementation & Accuracy
N/A
Architecture: "Engineered layers for orchestration and adaptive tuning" (no published benchmarks or detailed technical specs)
Chunking strategy: Configurable overlap with default 1024-character chunks and 200-character overlap
Similarity matching: Cosine similarity with 0-1 scoring between query vectors and document embeddings
Temperature controls: 0-1 scale for response creativity tuning
Retrieval scope: Knowledge Base Nodes limits for controlling which sources participate in retrieval
Context windows: "Previous Message Limit" configuration for conversation history retention
Self-learning: Thumbs up/down feedback, unanswered query tracking for knowledge gap identification, Crisp integration training on previous conversations
ACCURACY CONCERNS: Note: Mixed user feedback - Product Hunt critical review: "One of the worse train knowledge features", G2 mentions occasional hallucination issues, positive reviews praise precision on smaller knowledge bases
N/A
Your G P T 2.0 Innovations ( Differentiator)
N/A
AI Copilot: Describe needs in plain English to create agents automatically - natural language chatbot generation (8.5/10 rated innovation)
Multimodal agents: Text, voice, and image understanding - product identification from photos, screenshot analysis, document image parsing
MCP Marketplace: Ready-to-use tools for Claude Desktop, Cursor, Windsurf integration expanding context capabilities
Command Palette: Quick keyboard access (likely Cmd+K/Ctrl+K) to agent settings for power users
Competitive edge: AI Copilot and multimodal capabilities position YourGPT ahead of text-only no-code competitors
Product Hunt success: 220 upvotes for Chatbot Studio (February 2024), 301 upvotes for LLM Spark (November 2023) validate market interest
N/A
Customer Base & Case Studies
N/A
Scale claim: 10,000+ businesses served (unverified, bootstrapped startup claim)
Named customers: Headshots.dk (photography), gaming server companies, educational institutions, government/labour union organizations, seasonal tourism businesses
User satisfaction: 4.9/5 Product Hunt rating, 4.0/5 G2 Reviews
Product Hunt launches: 5 products launched - LLM Spark (301 upvotes, Nov 2023), Chatbot Studio (220 upvotes, Feb 2024)
G2 review themes: Praise for customer support quality, ease of use, customization flexibility; criticisms for training accuracy with large knowledge bases, API limitations, pricing transparency
Critical feedback: Product Hunt: "One of the worse train knowledge features...massive information need but can't deliver", "slow customer service" (contradicts G2 praise - potential inconsistency)
N/A
Company Background
N/A
Legal entity: Delta4 Infotech Pvt. Ltd., incorporated June 16-17, 2022, Chandigarh, India
Funding status: Bootstrapped startup - no publicly disclosed funding rounds
Team size: 11-50 employees focused on generative AI and conversational platforms
Co-founders: Rohit Joshi and Sahil Kumar
Founding date: June 2022 (recent entrant vs established competitors)
Geographic focus: India-based with global SaaS distribution and EU data residency option
Product evolution: Rapid innovation cadence - YourGPT 2.0 with AI Copilot and multimodal agents represents significant platform advancement within 2.5 years
After analyzing features, pricing, performance, and user feedback, both SimplyRetrieve and YourGPT.ai are capable platforms that serve different market segments and use cases effectively.
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
When to Choose YourGPT.ai
You value exceptional omnichannel reach with 50+ pre-built integrations including deep crisp self-learning capability
PhoneAI voice agents differentiate from text-only competitors with 24/7 multilingual call handling
SOC 2 Type 2 + GDPR + HIPAA compliance positions for enterprise adoption despite bootstrapped status
Best For: Exceptional omnichannel reach with 50+ pre-built integrations including deep Crisp self-learning capability
Migration & Switching Considerations
Switching between SimplyRetrieve and YourGPT.ai 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
SimplyRetrieve starts at custom pricing, while YourGPT.ai begins at $19/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 SimplyRetrieve and YourGPT.ai comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.
📚 Next Steps
Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.
• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements
Last updated: December 11, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.
The most accurate RAG-as-a-Service API. Deliver production-ready reliable RAG applications faster. Benchmarked #1 in accuracy and hallucinations for fully managed RAG-as-a-Service API.
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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