FAISS
FAISSAlso called: Facebook AI Similarity Search
An open-source library developed by Meta for efficient similarity search and clustering of dense vector embeddings, commonly used to build high-performance semantic search and retrieval systems.
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Related terms
Embedding Model
A machine learning model that converts text, images, audio, or other data into dense numerical vector representations that capture semantic meaning for retrieval, similarity search, and related AI tasks.
Dense RetrievalA retrieval technique that uses dense vector embeddings to identify semantically relevant documents based on similarity in an embedding space.
Semantic SearchA search technique that analyzes sentence meaning and intent rather than matching literal keywords.