Langchain Agents, Qdrant, Llama 3, Groq, Information Retrieval.
for file in os.listdir(directory_path) if file.endswith('.txt')] all_documents = {} for txt_file in txt_files: loader = TextLoader(os.path.join(directory_path, txt_file)) documents = loader.load() # Step 2: Split documents into chunks and add metadata text_splitter =