Chunk Overlap
Also called: Overlapping Chunks
The practice of sharing content between adjacent document chunks to preserve context and improve retrieval accuracy across chunk boundaries.
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Related terms
The process of splitting documents into smaller, semantically meaningful segments to improve indexing, retrieval, and context generation for AI systems.
Embedding GenerationThe 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.
RetrieverA system component responsible for fetching relevant documents or passages from a knowledge base given a query.
Indexing PipelineA 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.
Retrieval-Augmented GenerationRAGAn architectural pattern that enhances generative model responses by retrieving relevant information from external knowledge bases.