> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# faiss — AI agent skill for knowledge and rag

> Facebook's library for efficient similarity search and clustering of dense vectors.

# `faiss`

> Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

**Category:** [knowledge-and-rag](/research-agent-skills/skills#knowledge-and-rag) · **License:** MIT · **Version:** 1.0.0

## Install

```bash theme={null}
npx research-agent-skills install faiss
npx skills add KalarisLabs/research-agent-skills --skill faiss
```

## When to use it

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/faiss/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.