Faiss by Meta
Open-source library by Meta AI for efficient similarity search and clustering of dense vectors.
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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. Teams look it up for AI Foundation & Compute, Embedding Model, Vector Database.
Frequently asked
What does Faiss by Meta do?
Faiss by Meta is an AI Foundation & Compute company that offers Software. Teams look it up for Embedding Model, Vector Database, Machine Learning. It was founded in 2017. Compare it on funding, headcount, reviews and nearby alternatives rather than the marketing line alone.
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.
Does Faiss by Meta have an affiliate program?
Yes, Faiss by Meta has an affiliate program. The program runs on Self-hosted affiliate. Register here: https://github.com/facebookresearch/faiss/affiliates
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