Real ChatGPT answer · index seed74nD4GrO8KAcompleteB2B software · data and analytics platformscommercial
Which vector database currently offers the lowest latency for hybrid search when scaling to over one billion embeddings in a production environment?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Which vector database currently offers the lowest latency for hybrid search when scaling to over one billion embeddings in a production environment?
3 real searches · 1 real-search pass
2026 vector database hybrid search benchmark billion embeddings latency production comparisonGoogle ↗
OBSERVEDComparison
vector database hybrid search billion vectors latency benchmark 2025 2026 Qdrant Vespa Milvus ElasticsearchGoogle ↗
OBSERVEDComparison
1 billion vectors hybrid search latency production benchmark vector databasesGoogle ↗
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 (3)
Classes come from the query-classifier (a local Laya model). 2 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
2026 vector database hybrid search benchmark billion embeddings latency production comparison Google ↗
vector database hybrid search billion vectors latency benchmark 2025 2026 Qdrant Vespa Milvus Elasticsearch Google ↗
1 billion vectors hybrid search latency production benchmark vector databases Google ↗
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 vector database hybrid search benchmark billion embeddings latency production comparison OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
vector database hybrid search billion vectors latency benchmark 2025 2026 Qdrant Vespa Milvus Elasticsearch OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
1 billion vectors hybrid search latency production benchmark vector databases OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |