Semantic Search

A search method that retrieves documents by matching query terms against exact words, tokens, or linguistic forms in indexed content.

A retrieval technique that combines semantic vector search with keyword-based lexical search to improve the relevance, accuracy, and recall of retrieved information by leveraging the strengths of both approaches.

An architectural pattern that enhances generative model responses by retrieving relevant information from external knowledge bases.

A retrieval technique that uses dense vector embeddings to identify semantically relevant documents based on similarity in an embedding space.

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.