Can you give me tips on optimizing vector search accuracy for a genealogy database I am organizing using modern AI software
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you give me tips on optimizing vector search accuracy for a genealogy database I am organizing using modern AI software
1 real search · 1 real-search pass
vector search hybrid retrieval reranking evaluation embeddings metadata filtering official documentation pgvector Qdrant Elasticsearch genealogy entity resolutionGoogle ↗
OBSERVEDOther / navigational
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 (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
vector search hybrid retrieval reranking evaluation embeddings metadata filtering official documentation pgvector Qdrant Elasticsearch genealogy entity resolution Google ↗
- Hybrid Search with Reranking · qdrant.tech
- Hybrid Queries · qdrant.tech
- Hybrid Search in Qdrant · qdrant.tech
- How to Perform Hybrid Search - MongoDB Vector Search · mongodb.com
- Official website · qdrant.tech
- Documentation · qdrant.tech
- pgvector project · github.com
- Official website · elastic.co
- Hybrid search documentation · elastic.co
- Official website · neo4j.com
Queries
1 queries · click a column to sort