Audience
Developers interested in a similarity search library
About Faiss
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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Pricing
Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.
Integrations
Company Information
Meta
Founded: 2004
United States
faiss.ai/
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Product Details
Platforms Supported
Cloud
On-Premises
Training
Documentation
Faiss Frequently Asked Questions
Q: What kinds of users and organization types does Faiss work with?
Faiss works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Faiss support in their product?
Faiss supports these languages: English.
Q: What other applications or services does Faiss integrate with?
Faiss integrates with: Haystack and LLMWare.ai.
Q: What type of training does Faiss provide?
Faiss provides training in the form of documentation.
Q: How much does Faiss cost?
Pricing for Faiss starts at Free.
