Real ChatGPT answer · index seedUDvuUKTP4OIcompleteB2B software · AI and automation toolsinformational
What are the best practices for implementing hybrid search combining lexical BM25 algorithms with dense vector embeddings to improve precision in legal document retrieval?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices for implementing hybrid search combining lexical BM25 algorithms with dense vector embeddings to improve precision in legal document retrieval?
2 real searches · 1 real-search pass
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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
hybrid search BM25 dense retrieval reciprocal rank fusion reranking information retrieval research legal domain Google ↗
legal information retrieval dense embeddings BM25 hybrid search evaluation case law retrieval Google ↗
- DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval · arxiv.org
- Paper page - Section-Weighted Hybrid Approach for Legal Case Retrieval · huggingface.co
- Hybrid Search Scoring (RRF) - Azure AI Search · learn.microsoft.com
- Hybrid Search - Combining BM25 and Vector Retrieval - Azure DocumentDB · learn.microsoft.com
- Retrieval for Legal AI: Complementarity and Cross-Collection Interference in Brazilian Legal Collections · aclanthology.org
- 4.3.3 Hybrid Retrieval Performance · kth.diva-portal.org
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
hybrid search BM25 dense retrieval reciprocal rank fusion reranking information retrieval research legal domain OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
legal information retrieval dense embeddings BM25 hybrid search evaluation case law retrieval OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |