Document Loader

The process of splitting documents into smaller, semantically meaningful segments to improve indexing, retrieval, and context generation for AI systems.

A sequence of processes that ingests, cleans, transforms, chunks, enriches, embeds, and indexes data into a searchable store, preparing documents and other content for efficient retrieval by AI applications.

The process of converting text, images, or other data into dense numerical vector representations that capture semantic meaning for retrieval, similarity search, and downstream AI tasks.

A structured repository of documents, facts, policies, procedures, or other information that an AI system can retrieve and use to answer questions, generate responses, or support decision-making with relevant and up-to-date knowledge.

A system component responsible for fetching relevant documents or passages from a knowledge base given a query.