Faiss

Faiss

Meta
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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.

About

Open-source vector similarity search for Postgres. Supports exact and approximate nearest neighbor search for L2 distance, inner product, and cosine distance.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers interested in a similarity search library

Audience

Developers interested in an open source vector similarity search for Postgres

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Meta
Founded: 2004
United States
faiss.ai/

Company Information

pgvector
github.com/pgvector/pgvector

Alternatives

Alternatives

Embeddinghub

Embeddinghub

Featureform

Categories

Vector Databases Supported

Categories

Vector Databases Supported

Integrations

Apify Not Supported
Cake AI Not Supported
Haystack Supported
LLMWare.ai Supported
Langtrace Not Supported
MyDBA.dev Not Supported
Nebius Token Factory Not Supported
PostgreSQL Not Supported
Supabase Not Supported
Superexpert.AI Not Supported

Integrations

Apify Supported
Cake AI Supported
Haystack Not Supported
LLMWare.ai Not Supported
Langtrace Supported
MyDBA.dev Supported
Nebius Token Factory Supported
PostgreSQL Supported
Supabase Supported
Superexpert.AI Supported
Claim Faiss and update features and information
Claim Faiss and update features and information
Claim pgvector and update features and information
Claim pgvector and update features and information