Langchain Agents, Qdrant, Llama 3, Groq, Information Retrieval.
CharacterTextSplitter(chunk_size=1000, chunk_overlap=100, separator="\n") docs = text_splitter.split_documents(documents) for doc in docs: doc.metadata["source"] = txt_file # Add source metadata all_documents[txt_file] = docs Storing the Data in Qdrant Vector DB Using Custom Embeddings The Qdrant