RAG et connaissances
infigraph
AST-powered code intelligence engine — graph database plus hybrid semantic search across 62 languages, zero LLM dependency.
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Voir le guide →quivr est un projet de RAG et connaissances open source, créé par The-Vibe-Company (The-Vibe-Company/quivr sur GitHub). Il compte 39 575 étoiles sur GitHub et 3 739 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 8 octobre 2026.
Open-source engine turning continuous content streams into search, monitoring and alerts
Decide what you want from quivr and check the README and requirements to confirm it fits your setup and Go environment.
Clone the repository from GitHub (github.com/The-Vibe-Company/quivr) or use the documented install channel if you do not need the source.
Follow the README quickstart to install dependencies and set any required configuration or credentials.
Work through the README's first example end to end, then adapt it to your own project or data.
Durable ingestion of continuous content streams rather than one-off uploads.
Hybrid search across the ingested content for retrieval and monitoring.
Alerting on new or matching content as it arrives.
Plugins for formats, models and business rules extend the engine.
The V2 engine is written in Go with Docker Compose and Railway deployment options.
`make dev` starts dependencies, runs migrations and launches the API and worker.
Start by getting the source and entering the project directory.
git clone https://github.com/The-Vibe-Company/quivr.git
cd quivrRequirements include Go, Docker with Compose v2 and Python 3; make dev brings the stack up.
make devRun the end-to-end verification journeys on an isolated stack.
make verifyIt is maintained by The-Vibe-Company and contributors on GitHub, where the repository github.com/The-Vibe-Company/quivr is the canonical home for code, issues and releases.
Yes — it is open source under the MIT license. Read the license in the repository for what is permitted, including any conditions on redistribution or commercial use.
Model access depends on the plugins you configure; the engine itself is self-hosted and key-free.
Compared with classic Quivr 'second brain' apps: Quivr V2 is an engine for streams, search and alerts, rather than a single-user chat-with-documents app.
Clone github.com/The-Vibe-Company/quivr, follow the README quickstart to install it, and run the documented first example before adapting it to your own work.
AST-powered code intelligence engine — graph database plus hybrid semantic search across 62 languages, zero LLM dependency.
Semantic search engine designed for files and code.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.