Langchain Agents, Qdrant, Llama 3, Groq, Information Retrieval.
query. # Step 4: Create Qdrant vector store collections for each document qdrant_collections = {} for txt_file in txt_files: qdrant_collections[txt_file] = Qdrant.from_documents( all_documents[txt_file], embeddings, location=":memory:", collection_name=txt_file, ) For the documents mentioned above,