LLM-powered semantic document organization and retrieval system using LangChain, Gemini 1.5 Pro, ChromaDB, and Retrieval-Augmented Generation (RAG).

Examples of top-used LangChain document loaders including CSVLoader, DirectoryLoader, PyPDFLoader, TextLoader, and WebBaseLoader. These loaders standardize raw data into LangChain Document objects for further processing, splitting, embeddings, and RAG workflows.