# Faiss by Meta

**Source:** https://www.startuphub.ai/startups/faiss-by-meta
**Profile type:** Startup

> Open-source library by Meta AI for efficient similarity search and clustering of dense vectors.

## About

Faiss (Facebook AI Similarity Search) is an open-source library developed by Meta AI. It is designed for efficient similarity search and clustering of dense vectors, capable of handling datasets from millions to billions of high-dimensional vectors. Faiss serves as a foundational component for various AI and machine learning applications requiring fast and scalable vector similarity search.

## Key facts

- **Slug:** faiss-by-meta
- **Website:** https://github.com/facebookresearch/faiss
- **Founded:** 2017-03-29
- **Operating status:** Active
- **Sectors / tags:** AI Foundation & Compute, Embedding Model, Vector Database, Machine Learning, Data Platform, Developer Tools, API Platform, RAG, AI Infrastructure, Open Source, Similarity Search, Clustering, High-Dimensional Data, Machine Learning Infrastructure, Artificial Intelligence
- **Social:**
  - GitHub: https://github.com/security

## Frequently asked

### What does Faiss by Meta do?

Faiss (Facebook AI Similarity Search) is an open-source library developed by Meta AI. It is designed for efficient similarity search and clustering of dense vectors, capable of handling datasets from millions to billions of high-dimensional vectors. Faiss serves as a foundational component for various AI and machine learning applications requiring fast and scalable vector similarity search.

### When was Faiss by Meta founded?

Faiss by Meta was founded in 2017.

### What industry does Faiss by Meta operate in?

Faiss by Meta operates in AI Foundation & Compute, Embedding Model, Vector Database, Machine Learning, Data Platform, Developer Tools.

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