Real ChatGPT answer · index seed9SMuwBBNH78completeB2B software · AI and automation toolshowto

How do I set up hybrid search combining keyword and vector methods to make my digital household archive actually searchable?

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How do I set up hybrid search combining keyword and vector methods to make my digital household archive actually searchable?
1 real search · 1 real-search pass
hybrid search BM25 vector search reciprocal rank fusion official documentation Elasticsearch OpenSearch PostgreSQL pgvectorGoogle ↗
OBSERVEDComparison

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)
Short factOther / navigationalComparison100%ConsequenceReasonDefinitionInstructionYes / no

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
hybrid search BM25 vector search reciprocal rank fusion official documentation Elasticsearch OpenSearch PostgreSQL pgvector Google ↗
  1. Reciprocal rank fusion · docs.opensearch.org
  2. Reciprocal rank fusion · elastic.co

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
hybrid search BM25 vector search reciprocal rank fusion official documentation Elasticsearch OpenSearch PostgreSQL pgvector
OBSERVED
Google ↗
AI Mode ↗
—Comparison——1x
of 1