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

Mitsuba 2 is a research-oriented retargetable rendering system, written in portable C++17 on top of the Enoki library. It is developed by the Realistic Graphics Lab at EPFL. It can be compiled into many variants which include color handling (RGB, spectral, monochrome), vectorization (scalar, SIMD, CUDA) and differentiable rendering. Mitsuba 2 consists of a small set of core libraries and a wide variety of plugins that implement functionality ranging from materials and light sources to complete rendering algorithms. It strives to retain scene compatibility with its predecessor Mitsuba 0.6. The renderer includes a large automated test suite written in Python, and its development relies on several continuous integration servers that compile and test new commits on different operating systems using various compilation settings (e.g. debug/release builds, single/double precision, etc).

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a similarity search library

Audience

Anyone seeking for a research-oriented retargetable rendering system

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
faiss.ai/

Company Information

Mitsuba
www.mitsuba-renderer.org

Alternatives

Alternatives

Categories

Categories

Integrations

Haystack
LLMWare.ai

Integrations

Haystack
LLMWare.ai
Claim Faiss and update features and information
Claim Faiss and update features and information
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