Real ChatGPT answer · index seedTDEuf8f1hDQcompleteB2B software · data and analytics platformsinformational
Do I really need a dedicated vector database, or can I just use an open source search engine like Elasticsearch for my semantic search project?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Do I really need a dedicated vector database, or can I just use an open source search engine like Elasticsearch for my semantic search project?
1 real search · 1 real-search pass
Elasticsearch official documentation vector search dense_vector kNN hybrid search 2026Google ↗
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
Elasticsearch official documentation vector search dense_vector kNN hybrid search 2026 Google ↗
- Vector search in Elasticsearch · elastic.co
- docs-content/solutions/search/get-started/semantic-search.md at main · elastic/docs-content · github.com
- Dense vector search in Elasticsearch · elastic.co
- kNN search in Elasticsearch · elastic.co
- Qdrant documentation · qdrant.tech