Real ChatGPT answer · index seedghSm0TSnLwkcompleteB2B software · AI and automation toolsinformational
I keep hearing about vector search accuracy in AI tools, but how do I actually make sure it finds the exact documents I am looking for?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I keep hearing about vector search accuracy in AI tools, but how do I actually make sure it finds the exact documents I am looking for?
1 real search · 1 real-search pass
vector search hybrid search reranking retrieval evaluation recall precision documentationGoogle ↗
OBSERVEDReason
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 search reranking retrieval evaluation recall precision documentation Google ↗
- architecture-center/docs/ai-ml/guide/rag/rag-information-retrieval.md at main · MicrosoftDocs/architecture-center · github.com
- About hybrid search | Gemini Enterprise Agent Platform | Google Cloud Documentation · docs.cloud.google.com
- How we Decide Between Keyword and Hybrid Search: 5 Enterprise Evaluation Criteria · devblogs.microsoft.com
- Query an AI Search index - Azure Databricks · learn.microsoft.com