Qdrant, Google Cloud, Azure, Openai Api, Retrieval Augmented Gen.
concatenate texts into a single prompt for query_embedding in query_embeddings: query_vector: List[np.ndarray] = list(query_embedding) hits = client.search( collection_name=collection_name, query_vector=query_vector, limit=50 ) for hit in hits: text = hit.payload["text"] all_text += text + "\n\n" #