Real ChatGPT answer · index seedV8He6LuxcQAcompleteB2B software · data and analytics platformscommercial
What are the best vector databases right now that handle sub ten millisecond semantic search with hybrid filtering for a million high dimensional embeddings?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best vector databases right now that handle sub ten millisecond semantic search with hybrid filtering for a million high dimensional embeddings?
1 real search · 1 real-search pass
2026 vector database benchmark hybrid search million vectors latency filtering Qdrant Milvus Weaviate Pinecone pgvectorGoogle ↗
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
2026 vector database benchmark hybrid search million vectors latency filtering Qdrant Milvus Weaviate Pinecone pgvector Google ↗
- Hybrid Queries · qdrant.tech
- Vector Search Benchmarks · qdrant.tech
- Website · qdrant.tech
- Documentation · qdrant.tech
- Vector Database Benchmark 2026: Qdrant vs Pinecone vs Weaviate vs Milvus (Real Tests) · app.ailog.fr
- Website · weaviate.io
- Documentation · docs.weaviate.io
- Website · milvus.io
- Documentation · milvus.io
- Website · pinecone.io
- Documentation · docs.pinecone.io
- GitHub · github.com
- Documentation · github.com