Vector Database, Large Language Models, Llm, Semantic Search, Vector Search.
an example where we asked for only two attributes: “documents” and “distances”: results = coll.query( query_embeddings=[40,100,2,12345], include=["documents","distances"] ) results The output: {'ids': [['11', '12', '13']], 'distances': [[404.0, 123464320.0, 493821376.0]], 'metadatas': None,