# quivr

> Continuous content stream ingestion, search, and monitoring engine

Quivr is an open-source engine that ingests content streams durably and provides fast hybrid search, change feeds, and alerts. It uses a modular plugin architecture for normalizers, embedding models, and ranking rules, integrating with PostgreSQL, S3, Temporal, and Weaviate. Users can run it locally via Docker Compose or deploy it on servers and cloud platforms using its unified Go binary.

- Source: https://github.com/The-Vibe-Company/quivr
- Homepage: https://docs.quivr.thevibecompany.co
- License: MIT
- Built with: Go 55.2%, Python 25.9%, TypeScript 7.3%, MDX 5.9%, Other 5.7%
- Stars: 39617
- Forks: 3732
- Contributors: 116
- Last commit: 2026-10-29
- Latest release: v2.0.0 (2026-10-29)
- Purpose: AI & LLM tooling, MCP servers, RAG & vector DBs
- Type: Web, Docker / self-host, CLI
- For: Personal, Enterprise
- Enterprise signals: audit log

## Worth score: 81/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 23/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 12/15
- Readiness: 11/15

## Downloads

Latest release: [Quivr 2.0.0](https://github.com/The-Vibe-Company/quivr/releases/tag/v2.0.0). Files from the project's GitHub release, not checked by DigGitHub.

Source code only: this release has no files to download.

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- [DocsGPT](https://diggithub.com/arc53/DocsGPT.md): Private AI platform for agents and search
- [Docling](https://diggithub.com/docling-project/docling.md): Get your documents ready for generative AI

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Source page: https://diggithub.com/The-Vibe-Company/quivr
Updated: 2026-10-30