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

Qdrant is a high-performance, composable vector search engine built in Rust for production-grade semantic, hybrid, and agentic workloads. Combine dense vectors, sparse vectors, metadata filters, multi-vector representations, and custom scoring as primitives at query time. Written in Rust for memory efficiency, SIMD optimization, and predictable performance without garbage collection pauses. No wrappers, no bolt-ons, no legacy compromises — just a custom HNSW implementation and storage engine built specifically for vector workloads.

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

Anyone interested in a vector search engine

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 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

No information available.
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

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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 Supported
Live Online Not Supported
In Person Supported

Company Information

Meta
Founded: 2004
United States
faiss.ai/

Company Information

Qdrant
Founded: 2021
Germany
qdrant.tech/

Alternatives

Alternatives

Vespa

Vespa

Vespa.ai

Categories

Vector Databases Supported

Categories

AI Memory Layers Supported
eCommerce Search Supported
Neural Search Supported
Site Search Supported
Vector Databases Supported

Integrations

LLMWare.ai Supported
Airtool Not Supported
Azure Marketplace Not Supported
Broxi AI Not Supported
ChatGPT Plus Not Supported
CogniSync Not Supported
Coral Not Supported
Database Mart Not Supported
ElectroNeek Not Supported
Elestio Not Supported
Kong AI Gateway Not Supported
Langflow Not Supported
Leo Not Supported
Mimasa AI Not Supported
OmniMind Not Supported
OpenLIT Not Supported
Peaka Not Supported
Skott Not Supported
Workers by Delos Not Supported
voyage-code-3 Not Supported

Integrations

LLMWare.ai Supported
Airtool Supported
Azure Marketplace Supported
Broxi AI Supported
ChatGPT Plus Supported
CogniSync Supported
Coral Supported
Database Mart Supported
ElectroNeek Supported
Elestio Supported
Kong AI Gateway Supported
Langflow Supported
Leo Supported
Mimasa AI Supported
OmniMind Supported
OpenLIT Supported
Peaka Supported
Skott Supported
Workers by Delos Supported
voyage-code-3 Supported
Claim Faiss and update features and information
Claim Faiss and update features and information
Claim Qdrant and update features and information
Claim Qdrant and update features and information