| Data Ingestion & Knowledge Sources |
- Supports ingestion of over 1,400 file formats (PDF, DOCX, TXT, Markdown, HTML, etc.) via drag-and-drop or API.
- Crawls websites using sitemaps and URLs to automatically index public helpdesk articles, FAQs, and documentation.
- Automatically transcribes multimedia content (YouTube videos, podcasts) with built-in OCR and speech-to-text technology.
View Transcription Guide
- Integrates with cloud storage and business apps such as Google Drive, SharePoint, Notion, Confluence, and HubSpot using API connectors and Zapier.
See Zapier Connectors
- Offers both manual uploads and automated retraining (auto-sync) to continuously refresh and update your knowledge base.
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Relies on a manual, file-based ingestion approach. You place PDFs, text, DOCX, PPTX, HTML, etc. into a folder and run a script to embed them.
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Recently added a GUI Knowledge Base editor to append documents on the fly, but no built-in web crawler or automatic refreshing.
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| Integrations & Channels |
- Provides an embeddable chat widget for websites and mobile apps that is added via a simple script or iframe.
- Supports native integrations with popular messaging platforms like Slack, Microsoft Teams, WhatsApp, Telegram, and Facebook Messenger.
Explore API Integrations
- Enables connectivity with over 5,000 external apps via Zapier and webhooks, facilitating seamless workflow automation.
- Offers secure deployment options with domain allowlisting and ChatGPT Plugin integration for private use cases.
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Primarily offers a local GUI (via Gradio) and Python scripts for querying. No native Slack or website widget integrations.
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Additional channels require custom wrappers or code to forward messages to the local chatbot instance.
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| Core Chatbot Features |
- Delivers retrieval-augmented Q&A powered by OpenAI’s GPT-4 and GPT-3.5 Turbo, ensuring responses are strictly based on your provided content.
- Minimizes hallucinations by grounding answers in your data and automatically including source citations for transparency.
Benchmark Details
- Supports multi-turn, context-aware conversations with persistent chat history and robust conversation management.
- Offers multi-lingual support (over 90 languages) for global deployment.
- Includes additional features such as lead capture (e.g., email collection) and human escalation/handoff when required.
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Acts as a retrieval-augmented chatbot using open-source LLMs. Streams answers token by token in the Gradio UI.
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Focused on single-turn Q&A; multi-turn memory across a conversation is limited in the current release.
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Offers a “Retrieval Tuning Module” for insight and control over how answers are formed from retrieved data.
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| Customization & Branding |
- Enables full white-labeling: customize the chat widget’s colors, logos, icons, and CSS to fully match your brand.
White-label Options
- Provides a no-code dashboard to configure welcome messages, chatbot names, and visual themes.
- Allows configuration of the AI’s persona and tone through pre-prompts and system instructions.
- Supports domain allowlisting so that the chatbot is deployed only on authorized websites.
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Provides a basic Gradio-based interface with minimal theming capabilities out-of-the-box.
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To match your brand or embed in a client-facing UI, you must modify source code or build a custom frontend yourself.
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| LLM Model Options |
- Leverages state-of-the-art language models such as OpenAI’s GPT-4, GPT-3.5 Turbo, and optionally Anthropic’s Claude for enterprise needs.
- Automatically manages model selection and routing to balance cost and performance without manual intervention.
Model Selection Details
- Employs proprietary prompt engineering and retrieval optimizations to deliver high-quality, citation-backed responses.
- Abstracts model management so that you do not need to handle separate LLM API keys or fine-tuning processes.
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Built around open-source LLMs, by default WizardVicuna-13B. You can swap in other Hugging Face transformers if you have enough GPU resources.
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Full control over model choice, but smaller open models may lag behind GPT-4 in fluency and reasoning.
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| Developer Experience (API & SDKs) |
- Provides a robust, well-documented REST API with endpoints for creating agents, managing projects, ingesting data, and querying responses.
API Documentation
- Offers official open-source SDKs (e.g. Python SDK
customgpt-client) and Postman collections to accelerate integration.
Open-Source SDK
- Includes detailed cookbooks, code samples, and step-by-step integration guides to support developers at every level.
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Provides Python scripts for interaction. No official REST API or dedicated SDK is included.
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Integration into other apps typically requires writing your own wrapper or calling its scripts as subprocesses.
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| Integration & Workflow |
- Enables rapid deployment via a guided, low-code dashboard that allows you to create a project, add data sources, and auto-index content.
- Supports seamless integration into existing systems through API calls, webhooks, and Zapier connectors for automation (e.g., CRM updates, email triggers).
Auto-sync Feature
- Facilitates integration into CI/CD pipelines for continuous knowledge base updates without manual intervention.
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You run the system locally: set up a GPU environment, place data files, run “prepare.py” to embed, then launch “chat.py” for a Gradio interface.
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Updating content means re-running scripts or using the new Knowledge Tab. Scaling or deploying more instances is manual.
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| Performance & Accuracy |
- Optimized retrieval pipeline using efficient vector search, document chunking, and caching to deliver sub-second response times.
- Independent benchmarks show a median answer accuracy of 5/5 (e.g., 4.4/5 vs. 3.5/5 for alternatives).
Benchmark Results
- Delivers responses with built-in source citations to ensure factuality and verifiability.
- Maintains high performance even with large-scale knowledge bases (supporting tens of millions of words).
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Relies on open-source LLM performance, often slower than a managed service. On a single GPU, response times range from a few to 10+ seconds.
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Accuracy is decent if relevant documents are found, but smaller models can struggle with complex or multi-hop questions.
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| Customization & Flexibility (Behavior & Knowledge) |
- Enables dynamic updates to your knowledge base – add, remove, or modify content on-the-fly with automatic re-indexing.
- Allows you to configure the agent’s behavior via customizable system prompts and pre-defined example Q&A, ensuring a consistent tone and domain focus.
Learn How to Update Sources
- Supports multiple agents per account, allowing for different chatbots for various departments or use cases.
- Offers a balance between high-level control and automated optimization, so you get tailored behavior without deep ML engineering.
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Exposes granular controls (like “KnowledgeBase Weightage,” retrieval parameters, and system prompt editing) for deep customization.
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Encourages a developer-centric approach, allowing you to tweak prompt templates, embedding models, or even the pipeline code.
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| Pricing & Scalability |
- Operates on a subscription-based pricing model with clearly defined tiers: Standard (~$99/month), Premium (~$449/month), and custom Enterprise plans.
- Provides generous content allowances – Standard supports up to 60 million words per bot and Premium up to 300 million words – with predictable, flat monthly costs.
View Pricing
- Fully managed cloud infrastructure that auto-scales with increasing usage, ensuring high availability and performance without additional effort.
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Free and open source under MIT license. No direct fees, but you must provide GPU hardware or cloud servers.
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Scaling to more queries or larger models requires additional instances/hardware, all managed by you.
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| Security & Privacy |
- Ensures enterprise-grade security with SSL/TLS for data in transit and 256-bit AES encryption for data at rest.
- Holds SOC 2 Type II certification and complies with GDPR, ensuring your proprietary data remains isolated and confidential.
Security Certifications
- Offers robust access controls, including role-based access, two-factor authentication, and Single Sign-On (SSO) integration for secure management.
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Entirely local: documents and chat data remain on your machine, beneficial for highly sensitive environments.
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Lacks built-in authentication or enterprise security features—security depends on your deployment configuration.
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| Observability & Monitoring |
- Includes a comprehensive analytics dashboard that tracks query volumes, conversation history, token usage, and indexing status in real time.
- Supports exporting logs and metrics via API for integration with third-party monitoring and BI tools.
Analytics API
- Provides detailed insights for troubleshooting and continuous improvement of chatbot performance.
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Provides an “Analysis” tab to see which documents were retrieved and how the query was formed. Logs can be viewed in the console.
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No dedicated analytics dashboard; you must build custom logging or monitoring solutions if you need aggregated usage stats.
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| Support & Ecosystem |
- Offers extensive online documentation, tutorials, cookbooks, and FAQs to help you get started quickly.
Developer Docs
- Provides responsive support via email and in-app chat; Premium and Enterprise customers receive dedicated account management and faster SLAs.
Enterprise Solutions
- Benefits from an active community of users and partners, along with integrations via Zapier and GitHub-based resources.
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Maintained as an open-source project on GitHub. Support is community-driven through issues and minimal documentation.
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Ecosystem is smaller; you can modify code freely or add features, but there’s no formal SLA or enterprise support plan.
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| Additional Considerations |
- Reduces engineering overhead by providing an all-in-one, turnkey RAG solution that does not require in-house ML expertise.
- Delivers rapid time-to-value with minimal setup – enabling deployment of a functional AI assistant within minutes.
- Continuously updated to leverage the latest improvements in GPT models and retrieval methods, ensuring state-of-the-art performance.
- Balances high accuracy with ease-of-use, making it ideal for both customer-facing applications and internal knowledge management.
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Ideal for offline or on-prem scenarios where data must not leave your servers. Developer-friendly for experimentation.
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May require more time to maintain and tune, and can’t match the largest proprietary models in raw capability out-of-the-box.
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| No-Code Interface & Usability |
- Features an intuitive, wizard-driven web dashboard that lets non-developers upload content, configure chatbots, and monitor performance without coding.
- Offers drag-and-drop file uploads, visual customization for branding, and interactive in-browser testing of your AI assistant.
User Experience Review
- Supports role-based access to allow collaboration between business users and developers.
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Provides a basic Gradio UI geared towards developers. Non-technical users may find the settings tabs overwhelming.
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Lacks a polished, no-code admin experience. If wide adoption or branding is desired, you’ll likely build your own frontend.
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CustomGPT
SimplyRetrieve