How do I fix poor vector search accuracy in Pinecone when working on my senior capstone machine learning project?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I fix poor vector search accuracy in Pinecone when working on my senior capstone machine learning project?
1 real search · 1 real-search pass
Pinecone documentation improve vector search relevance reranking chunking metadata filtering evaluation recall ndcg 2026Google ↗
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
Pinecone documentation improve vector search relevance reranking chunking metadata filtering evaluation recall ndcg 2026 Google ↗
- Retrieval-Augmented Generation (RAG) · pinecone.io
- Introducing cascading retrieval: Unifying dense and sparse with reranking · pinecone.io
- Rerankers and Two-Stage Retrieval · pinecone.io
- Refine Retrieval Quality with Pinecone Rerank · pinecone.io
- Reranking results · sdk.pinecone.io
- Pinecone Metadata Filtering · pinecone.io