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FAISS: GPU similarity-search primitives and evolving vector-index library

Designed GPU-efficient k-selection and memory-aware similarity-search pipelines; the later library report documents composable indexing, compression and search tradeoffs in the evolving FAISS toolkit.

What is recorded here?

Designed GPU-efficient k-selection and memory-aware similarity-search pipelines; the later library report documents composable indexing, compression and search tradeoffs in the evolving FAISS toolkit.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

One2017/2024 contribution family with separate3- and9-author source sets. Product quantization, HNSW and other incorporated indexes retain their own origins. FAISS indexes supplied vectors; it is not an embedding extractor, hosted service or transactional database. Exact and approximate modes differ; library breadth and historical benchmarks do not imply all indexes originated with FAISS or universal speed.

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People and systems

Jeff Johnson; Matthijs Douze; Hervé Jégou; Alexandr Guzhva; Chengqi Deng; Gergely Szilvasy; Pierre-Emmanuel Mazaré; Maria Lomeli; Lucas Hosseini

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

FAISS: GPU similarity-search primitives and evolving vector-index library

Designed GPU-efficient k-selection and memory-aware similarity-search pipelines; the later library report documents composable indexing, compression and search tradeoffs in the evolving FAISS toolkit.

Scientific scope

One2017/2024 contribution family with separate3- and9-author source sets. Product quantization, HNSW and other incorporated indexes retain their own origins. FAISS indexes supplied vectors; it is not an embedding extractor, hosted service or transactional database. Exact and approximate modes differ; library breadth and historical benchmarks do not imply all indexes originated with FAISS or universal speed.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Jeff Johnson; Matthijs Douze; Hervé Jégou; Alexandr Guzhva; Chengqi Deng; Gergely Szilvasy; Pierre-Emmanuel Mazaré; Maria Lomeli; Lucas Hosseini

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources