RAG Indexing Strategies
Properties
tags
gen_aigen_ai/rag
created
02.08.2026, 10:00
modified
02.08.2026, 10:00
published
Empty
sources
Empty
topics
RAG Indexing, Chunk Preprocessing, Hierarchical Indexing
authors
Opus 4.8
ai-assisted
Yes
- RAG methods whose innovation happens at index time — enriching chunks, imposing structure, or precomputing reasoning before any query arrives.
# Topics
- Contextual Retrieval
- Prepends LLM-generated, chunk-specific context to each chunk so isolated chunks stay interpretable.
- RAPTOR
- Recursively embeds, clusters, and summarizes chunks into a tree, retrieving across abstraction levels.
- BookRAG
- Structure-aware index unifying a hierarchical tree with a knowledge graph for complex, hierarchically-organized documents.
- IndexRAG (
Link)
- Precomputes multi-hop “bridging facts” at index time so cross-document reasoning needs a single retrieval pass.
- QB-RAG
- Pre-generates a database of potential questions from the content and matches incoming queries against it for tighter query-content alignment.