Vector database
TechnologiesA specialized database that stores document embeddings (numeric vectors) and answers similarity searches: given the embedding of a question, it returns the closest passages. It is the component that makes RAG possible.
A specialized database that stores document embeddings (numeric vectors) and answers similarity searches: given the embedding of a question, it returns the closest passages. It is the component that makes RAG possible.