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A Chunk in R2R represents a processed segment of content derived from a parent Document. Chunks are the core unit of retrieval within the system, serving as the foundation for semantic search, knowledge graph construction, and Retrieval-Augmented Generation (RAG) workflows. Each chunk includes the following components:
  • Text content — the extracted or generated portion of the source document.
  • Metadata — contextual information such as source, timestamp, or author.
  • Optional vector embeddings — numerical representations used for similarity search and reasoning.
Chunks are automatically generated during document ingestion and are optimized for:
  • Semantic search and retrieval
  • Knowledge graph relationship extraction
  • Vector similarity comparison
  • Metadata-based filtering and organization

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