RAG et connaissances
linkly-ai-skills
Skills that let coding agents search and read your local documents.
★ 65 étoilesApache-2.0
Voir le guide →DocsGPT est un projet de RAG et connaissances open source, créé par arc53 (arc53/DocsGPT sur GitHub). Il compte 18 316 étoiles sur GitHub et 2 189 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 8 octobre 2026.
A private AI platform for agents, assistants and enterprise search over your documents
Decide which documents or connected services the assistant should answer from.
Use the one-command installer, or clone the repo for Docker Compose or source deployment.
Connect your model provider (or a local model) and sync your first knowledge source.
Create an agent with its own prompt, knowledge and tools, and ask it a question with sources.
Agents have their own prompt, knowledge, tools and model, plus a research mode for multi-step answers.
Chain agents, conditions, state and sandboxed code in a drag-and-drop builder.
Ingests PDFs, Office files, web pages and audio, kept in sync from Drive, SharePoint, Confluence, GitHub, S3 and more, with GraphRAG.
Every answer cites the documents it came from, so users can verify.
Web search, REST APIs, MCP servers and sandboxed code as tools; guardrails flag or block PII, secrets and prompt injection.
Use OpenAI, Anthropic, Google, Groq, OpenRouter, or local models via Ollama, vLLM and other OpenAI-compatible servers.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/arc53/DocsGPT.git
cd DocsGPTThe README's quickstart uses the project's installer script to set up the stack.
# Run the one-command install from the README quickstartAfter install, the docsgpt command manages status, logs, upgrades and backups.
docsgpt status
docsgpt logs
docsgpt upgradeIt is maintained by arc53 and contributors on GitHub; a hosted cloud version is offered at app.docsgpt.cloud.
Yes - DocsGPT is MIT licensed and free to self-host. The hosted cloud is a separate service.
You bring a model: cloud providers need your API keys, or you can run fully local models through Ollama or vLLM at no per-token cost.
Compared with plain RAG frameworks like LlamaIndex, DocsGPT is a complete private platform - agent builder, workflows, connectors, guardrails and UI - rather than a library you assemble yourself.
Run the one-command install from the README, connect a model and one knowledge source, and build your first agent in the UI.
Skills that let coding agents search and read your local documents.
Utopia — an open-source enterprise world model: a bitemporal knowledge substrate that learns from your documents and gives agents a governed, auditable memory
The smallest vector index in the world: private RAG over everything on your laptop with 97% less storage.
The open-source, permission-aware context layer that lets agents search all your company knowledge.
DeepSearcher — open-source deep research over your private data, with reasoning models and Milvus retrieval.
Vespa — the AI search platform: vector, text and tensor search at production scale.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.