Vector Database, Large Language Models, Llm, Semantic Search, Vector Search.
“man” and “level” >= 2: results = coll.query( query_embeddings=[40,100,2,12345], where={ "$and":[ {"level":{"$gte":2}}, {"gender":{"$eq":"man"}} ] } ) The output shows only that satisfies all the conditions: {'ids': [['12']], 'distances': [[123464320.0]], 'metadatas': [[{'gender': 'man', 'level':