Glossary › RAG

Chunking

Splitting documents into smaller segments for embedding and retrieval. Strategies: fixed-size, sentence-boundary, semantic, parent-child. Chunk size affects retrieval precision and context relevance.

Where this is taught

• Dify Knowledge Base Deep Dive — Chunking, Indexing, and Retrieval — Phase 6: Dify & Visual AI App Builders
• Audio Chunking, Buffering, and Noise Suppression — Phase 1: Audio Processing & Streaming
• Advanced Retrieval — Hybrid Search, Reranking, and Parent-Child Chunking — Phase 4: RAG Pipelines in Workflows
• Chunking Strategies for RAG — Phase 3: Transformers for NLP
• Chunking, Metadata, and Document Ingestion — Phase 6: RAG Systems & Knowledge Grounding
• Document Processing for RAG Ingestion — Phase 2: Enterprise Data Engineering

Related terms

Embedding · Vector Store

More in RAG

Reranking · Semantic Search · Hybrid Search

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