Data connection

Many LLM applications require user-specific data that is not part of the model's training set. LangChain gives you the building blocks to load, transform, store and query your data via:

• Document loaders: Load documents from many different sources
• Document transformers: Split documents, convert documents into Q&A format, drop redundant documents, and more
• Text embedding models: Take unstructured text and turn it into a list of floating point numbers
• Vector stores: Store and search over embedded data
• Retrievers: Query your data