Vector Database, Large Language Models, Llm, Semantic Search, Vector Search.
let’s query customers with level greater than or equal to 2: results = coll.query( query_embeddings=[40,100,2,12345], where={"level":{"$gte":2}} ) results The output shows only those with the level 2 and above: {'ids': [['11', '12']], 'distances': [[404.0, 123464320.0]], 'metadatas': [[{'gender':