How do I improve vector search accuracy in Qdrant when my semantic search results keep returning irrelevant documents for legal queries
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I improve vector search accuracy in Qdrant when my semantic search results keep returning irrelevant documents for legal queries
1 real search · 1 real-search pass
Qdrant documentation hybrid queries sparse dense vectors reciprocal rank fusion reranking filtering payload indexing legal document retrieval chunkingGoogle ↗
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
Qdrant documentation hybrid queries sparse dense vectors reciprocal rank fusion reranking filtering payload indexing legal document retrieval chunking Google ↗
- Hybrid Search with Reranking · qdrant.tech
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- Qdrant Fundamentals · qdrant.tech