Why is our vector search returning weird results and what is the best way to tune the chunk size and embedding model to fix the accuracy
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Why is our vector search returning weird results and what is the best way to tune the chunk size and embedding model to fix the accuracy
1 real search · 1 real-search pass
vector search retrieval tuning chunk size overlap embedding model evaluation hybrid search reranking official documentationGoogle ↗
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
vector search retrieval tuning chunk size overlap embedding model evaluation hybrid search reranking official documentation Google ↗