RAG et connaissances
KnowNote
A local-first AI knowledge base and NotebookLM replacement built with Electron.
★ 1,2 k étoilesGPL-3.0
Voir le guide →gno est un projet de RAG et connaissances open source, créé par gmickel (gmickel/gno sur GitHub). Il compte 115 étoiles sur GitHub et 12 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 29 septembre 2026.
Local AI-driven document search and editing with first-in-class hybrid retrieval
Clone gmickel/gno and move into the project folder.
Install Node dependencies with npm (or your preferred package manager).
Load the PDFs, notes, or pages you want to query.
Query the knowledge base and check the cited sources.
General AI assistant capabilities.
Bun runtime — fast startup.
Command-line interface for terminal-first users.
Semantic code search.
Search across your documents.
Embedding-based retrieval.
Download the source and move into the project folder.
git clone https://github.com/gmickel/gno.git
cd gnoSet up what the project needs to run.
npm installStart the app — the README has the exact command and flags.
npm run dev # or npm start — see package.jsonMIT licensed — free for personal and commercial use.
It is designed to keep data on your machine or your server. Check the docs for any optional cloud features.
Clone the repo and run npm install — the README covers the rest.
The GitHub repo's issues and discussions are the main support channel.
Last pushed 2026-09-29 with 12 forks. Skim recent commits to gauge momentum before relying on it.
A local-first AI knowledge base and NotebookLM replacement built with Electron.
Read-later + AI knowledge base for the Chinese internet
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval.
AI-native database for hybrid search across dense, sparse, and tensor vectors plus full text
Skills that let coding agents search and read your local documents.
Les autres projets de la catégorie RAG et connaissances avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si gno ne vous convient pas.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Projets de la catégorie RAG et connaissances proches dans le catalogue, les plus proches en étoiles de gno — continuez à explorer de part et d'autre.
High-performance PDF conversion library for macOS apps.
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
Internal Q&A and knowledge base for Backstage.
Open rag & knowledge for this repo accelerates development of rag applications w.
An open-source knowledge base for people and AI agents.
Self-hosted rag & knowledge: turn your own pdf textbooks into an ai-searchable knowl.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.