We are migrating our internal knowledge base to custom internal chatbots using vector embeddings. Which database performs best for hybrid search at scale?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We are migrating our internal knowledge base to custom internal chatbots using vector embeddings. Which database performs best for hybrid search at scale?
4 real searches · 1 real-search pass
2026 hybrid search benchmark vector databases Vespa Elasticsearch Qdrant Weaviate large scale performanceGoogle ↗
OBSERVED
Vespa hybrid search documentation BM25 vector ranking scalabilityGoogle ↗
OBSERVED
Qdrant hybrid search documentation sparse dense vectors filteringGoogle ↗
OBSERVED
Elasticsearch hybrid search reciprocal rank fusion 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 4 queries…
Searches and sources
ChatGPT4 real searches · gpt-6
2026 hybrid search benchmark vector databases Vespa Elasticsearch Qdrant Weaviate large scale performance Google ↗
Vespa hybrid search documentation BM25 vector ranking scalability Google ↗
Qdrant hybrid search documentation sparse dense vectors filtering Google ↗
Elasticsearch hybrid search reciprocal rank fusion documentation Google ↗
- Hybrid Text Search Tutorial · docs.vespa.ai
- Lab - Hybrid Search · learn.vespa.ai
- Hybrid search · elastic.co
- Hybrid search with Elasticsearch · elastic.co
- Hybrid Search in Qdrant · qdrant.tech
- Hybrid Queries · qdrant.tech
- Vector Search Benchmarks · qdrant.tech
Queries
4 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 hybrid search benchmark vector databases Vespa Elasticsearch Qdrant Weaviate large scale performance OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Vespa hybrid search documentation BM25 vector ranking scalability OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Qdrant hybrid search documentation sparse dense vectors filtering OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Elasticsearch hybrid search reciprocal rank fusion documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |