Vector Database, Large Language Models, Llm, Semantic Search, Vector Search.
passing a new parameter named where: # Search with a definitve query on metadata results = coll.query( query_embeddings=[40,100,2,12345], where={"gender":{"$eq":"man"}} ) results The output: {'ids': [['12', '13']], 'distances': [[123464320.0, 493821376.0]], 'metadatas': [[{'gender': 'man'},