# Faiss

> Efficient similarity search for vectors

Meta's library for fast nearest-neighbour search and clustering.

- Source: https://github.com/facebookresearch/faiss
- Homepage: https://faiss.ai
- License: MIT
- Language: C++
- Stars: 41018
- Forks: 4539
- Contributors: 287
- Last commit: 2026-10-03
- Latest release: v1.15.1 (2026-09-16)
- Purpose: AI & LLM tooling, RAG & vector DBs
- Runs on: Library / SDK
- For: Personal, Enterprise

## Worth score: 79/100

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

- Popularity: 23/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 13/15
- Readiness: 8/15

## Alternatives

- [Crawl4AI](https://diggithub.com/unclecode/crawl4ai.md): Web crawler that turns sites into LLM-ready Markdown
- [MarkItDown](https://diggithub.com/microsoft/markitdown.md): Convert Office files and PDFs to Markdown for LLMs
- [Docling](https://diggithub.com/docling-project/docling.md): Get your documents ready for generative AI
- [LightRAG](https://diggithub.com/HKUDS/LightRAG.md): Simple and fast graph-based RAG
- [OpenViking](https://diggithub.com/volcengine/OpenViking.md): Context database for AI agents
- [LlamaIndex](https://diggithub.com/run-llama/llama_index.md): Data framework for LLM applications and agents
- [gpt-researcher](https://diggithub.com/assafelovic/gpt-researcher.md): Autonomous deep research agent for web and local documents
- [Cognee](https://diggithub.com/topoteretes/cognee.md): Open-source memory platform for agents

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Source page: https://diggithub.com/facebookresearch/faiss
Updated: 2026-10-03