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ai deep-dive RAG 技法大全

Multi-hop Retrieval: When Answers Are Scattered Across Documents

Standard RAG retrieves one set of documents per query, but real questions often need reasoning across 2-4 documents. IRCoT pioneered interleaved retrieval-reasoning, PAR²-RAG beats IRCoT by 23.5% accuracy on four benchmarks, and CompactRAG compresses LLM calls down to just two.

#multi-hop-retrieval#rag#multi-hop-qa#iterative-retrieval#reasoning#agentic-rag
tech guide The RAG Techniques Compendium

RAG Multi-Entity Queries: When the User Lists Five Routes and the System Only Sees the First

The RAG system's extractRouteReference() used a for...return pattern that grabbed only the first match — so when a user provided five completed routes, only one was used. The fix evolves through three layers: rule-based multi-entity extraction, user profile aggregation, and embedding centroid.

#rag#ner#query-decomposition#recommendation-system#multi-hop-qa