What parameters should I tune in Pinecone to optimize vector search accuracy for a semantic search tool I am coding this weekend
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What parameters should I tune in Pinecone to optimize vector search accuracy for a semantic search tool I am coding this weekend
7 real searches · 1 real-search pass
site:docs.pinecone.io vector search query top_k metric cosine reranking hybrid search serverless index configurationGoogle ↗
OBSERVEDOther / navigational
site:docs.pinecone.io guides search semantic search rerank topK metadata filter sparse dense vectorsGoogle ↗
OBSERVEDOther / navigational
site:docs.pinecone.io/guides/search semantic search top_k rerank query vector PineconeGoogle ↗
OBSERVEDOther / navigational
site:docs.pinecone.io/guides/search hybrid search dense sparse reranking PineconeGoogle ↗
OBSERVEDOther / navigational
site:docs.pinecone.io/guides/search/rerank-results Pinecone rerank resultsGoogle ↗
OBSERVEDOther / navigational
site:docs.pinecone.io/guides/search/hybrid-search Pinecone hybrid search dense sparseGoogle ↗
OBSERVEDOther / navigational
site:docs.pinecone.io/guides/index-data/data-modeling chunking text chunks semantic search PineconeGoogle ↗
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 (7)
Classes come from the query-classifier (a local Laya model). 6 of 7 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT7 real searches · gpt-6
site:docs.pinecone.io vector search query top_k metric cosine reranking hybrid search serverless index configuration Google ↗
site:docs.pinecone.io guides search semantic search rerank topK metadata filter sparse dense vectors Google ↗
site:docs.pinecone.io/guides/search semantic search top_k rerank query vector Pinecone Google ↗
site:docs.pinecone.io/guides/search hybrid search dense sparse reranking Pinecone Google ↗
site:docs.pinecone.io/guides/search/rerank-results Pinecone rerank results Google ↗
site:docs.pinecone.io/guides/search/hybrid-search Pinecone hybrid search dense sparse Google ↗
site:docs.pinecone.io/guides/index-data/data-modeling chunking text chunks semantic search Pinecone Google ↗
- Configure an index · docs.pinecone.io
- Pinecone documentation · docs.pinecone.io
Semantic map
Every query placed by meaning (EmbeddingGemma 2, 256-d). Shaded regions are topics, nearby points are near-paraphrases, and a circle's size is how often the query came back.
Colour
SimulatedReal search
Hover a query to see its counterpart · zoom with Ctrl/⌘ + scroll, a pinch, double-click or +
Queries
7 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
site:docs.pinecone.io vector search query top_k metric cosine reranking hybrid search serverless index configuration OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site:docs.pinecone.io guides search semantic search rerank topK metadata filter sparse dense vectors OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site:docs.pinecone.io/guides/search semantic search top_k rerank query vector Pinecone OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site:docs.pinecone.io/guides/search hybrid search dense sparse reranking Pinecone OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site:docs.pinecone.io/guides/search/rerank-results Pinecone rerank results OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site:docs.pinecone.io/guides/search/hybrid-search Pinecone hybrid search dense sparse OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site:docs.pinecone.io/guides/index-data/data-modeling chunking text chunks semantic search Pinecone OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |