LanceDB
An open-source vector database designed for AI applications that stores vector embeddings alongside structured data, enabling efficient similarity search, hybrid search, indexing, and retrieval for retrieval-augmented generation (RAG) and semantic search workloads.
Explore more about Vector Databases
Related terms
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.
Retrieval-Augmented GenerationRAGAn architectural pattern that enhances generative model responses by retrieving relevant information from external knowledge bases.
Embedding ModelA 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.