Qdrant, Google Cloud, Azure, Openai Api, Retrieval Augmented Gen.
generate_response(Question): query_embeddings = embed_query(Question) collection_name = 'RAG-Usage-Example' all_text = "" # Retrieve all hits and concatenate texts into a single prompt for query_embedding in query_embeddings: query_vector: List[np.ndarray] = list(query_embedding) hits =