RAG et connaissances
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Self-hosted RAG search across GitHub, Drive, Notion, and local files.
★ 115 étoilesMIT
Voir le guide →ObsidianRAG est un projet de chat IA open source, créé par Vasallo94 (Vasallo94/ObsidianRAG sur GitHub). Il compte 123 étoiles sur GitHub et 18 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 18 septembre 2026.
Ask questions of your Obsidian notes with private, local AI RAG.
Get it from PyPI or pull the Docker image.
Configure the path to your Obsidian notes.
Use Ollama, LM Studio, or any compatible server.
Query from the plugin or the API.
Ask questions without leaving your notes.
Ollama, LM Studio, or OpenAI-compatible servers.
Your vault never leaves your machine.
Semantic search over your notes.
Two easy ways to run it.
Modern RAG orchestration.
Get it from PyPI.
pip install obsidianragPull and run the container instead.
docker run -p 8000:8000 obsidianragPoint it at your vault and model per the README.
# see README for the config file formatIt is an open-source project at Vasallo94/ObsidianRAG with 18 forks.
Yes. It is MIT licensed.
No. Models and vectors run locally by design.
Ollama, LM Studio, or any OpenAI-compatible server.
Via the Obsidian plugin, Docker, or the PyPI package.
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval.
Bring local LLMs into your Obsidian vault.
Turn a local CLI agent into in-vault Obsidian AI chat.
A modern, local-first AI roleplay platform you host yourself.
Private desktop AI hub: chat, code, images, music, docs — no cloud, no account.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.