LangChain Document

LangChain Document is a foundational class within the LangChain framework that stores a piece of text and associated metadata for AI applications. The Document class encapsulates extracted text (page_content) along with metadata—a dictionary containing details about the document, such as the author’s name or the date of publication. This standardized data structure enables consistent document handling across LangChain components including document loaders, text splitters, and retrieval systems. The Document object serves as the primary interface between raw data sources and LangChain applications, supporting vector embeddings generation, similarity search operations, and context retrieval for retrieval-augmented generation (RAG) systems with structured metadata preservation.