What are the most effective ways to optimize vector search accuracy when dealing with long legal documents and messy technical manuals
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the most effective ways to optimize vector search accuracy when dealing with long legal documents and messy technical manuals
1 real search · 1 real-search pass
hybrid retrieval RRF reranking long documents legal document RAG chunking structure-aware retrieval best practicesGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
hybrid retrieval RRF reranking long documents legal document RAG chunking structure-aware retrieval best practices Google ↗
- architecture-center/docs/ai-ml/guide/rag/rag-information-retrieval.md at main · MicrosoftDocs/architecture-center · github.com
- Develop a RAG Solution on Azure - Information-Retrieval Phase - Azure Architecture Center · learn.microsoft.com
- Searching for Best Practices in Retrieval-Augmented Generation · aclanthology.org