Azure AI Search

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 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.

A managed vector database designed to store, index, and search high-dimensional embeddings for semantic retrieval and AI applications.