FaissMeta
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Related Products
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About
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning.
Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.
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About
Open-source vector similarity search for Postgres.
Supports exact and approximate nearest neighbor search for L2 distance, inner product, and cosine distance.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers interested in a similarity search library
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Audience
Developers interested in an open source vector similarity search for Postgres
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMeta
Founded: 2004
United States
faiss.ai/
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Company Informationpgvector
github.com/pgvector/pgvector
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Cake AI
Haystack
LLMWare.ai
Langtrace
PostgreSQL
Supabase
Superexpert.AI
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Integrations
Cake AI
Haystack
LLMWare.ai
Langtrace
PostgreSQL
Supabase
Superexpert.AI
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