Article Engineering at Meta

Faiss: A library for efficient similarity search

Preview of Faiss: A library for efficient similarity search.
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In this reference

Meta’s introduction to the Faiss library for vector similarity search.

Cite the original work

Faiss: A library for efficient similarity search (29 March 2017). Engineering at Meta. https://engineering.fb.com/2017/03/29/data-infrastructure/faiss-a-library-for-efficient-similarity-search/

View BibTeX
@misc{faiss_a_library_for_efficient_similarity_search,
  title = {{Faiss: A library for efficient similarity search}},
  howpublished = {Engineering at Meta},
  url = {https://engineering.fb.com/2017/03/29/data-infrastructure/faiss-a-library-for-efficient-similarity-search/},
  year = {2017}
}
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