Detailed Introduction
DocsGPT is an open-source, enterprise-focused document agent platform that provides an Agent Builder, document analysis, deep retrieval, and multi-model connectivity. It ingests PDFs, DOCX, HTML, Markdown and other formats, and can crawl content from URLs, sitemaps, or GitHub repositories. Combining retrieval-augmented generation (RAG) with large language models (LLMs), DocsGPT delivers citation-backed answers and surfaces evidence in the UI for auditability. The project offers a cloud service ( DocsGPT Cloud ) and a full self-hosted deployment path, suitable for organizations with privacy and governance requirements.
Main Features
- Wide format support: PDF, DOCX, PPTX, Markdown, HTML, CSV, and more.
- Retrieval-Augmented Generation (RAG) with source citations to reduce hallucinations.
- Multi-model and local inference support: OpenAI, Google, Anthropic, and local runtimes (e.g., Ollama).
- Actionable tooling and APIs: connect tools, trigger actions, and return executable responses.
Use Cases
Ideal for enterprise document search, internal knowledge assistants, compliance investigations, legal and engineering document analysis. Teams can build private chatbots, document-driven search experiences, or an internal agent platform while keeping data under organizational control.
Technical Features
- Python backend with React/Vite frontend for easy self-hosting and enterprise deployment.
- QuickStart and Docker deployment scripts to run locally or in cloud environments.
- Supports MCP and OAuth integrations for secure tool and model connectivity.
- MIT-licensed with an active community and commercial cloud offering for managed deployments.