We need to benchmark Pinecone against Milvus for high-dimensional embedding retrieval under heavy concurrent load right now.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to benchmark Pinecone against Milvus for high-dimensional embedding retrieval under heavy concurrent load right now.
3 real searches · 1 real-search pass
Pinecone documentation performance scaling throughput concurrency latency vector search benchmark 2026Google ↗
OBSERVED
Milvus documentation performance benchmark concurrent search high concurrency vector database 2026Google ↗
OBSERVED
Pinecone vs Milvus benchmark high dimensional vector search QPS latency recallGoogle ↗
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 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
Pinecone documentation performance scaling throughput concurrency latency vector search benchmark 2026 Google ↗
Milvus documentation performance benchmark concurrent search high concurrency vector database 2026 Google ↗
Pinecone vs Milvus benchmark high dimensional vector search QPS latency recall Google ↗
- GitHub - jhondados/vector-database-benchmark: Comprehensive vector database benchmark: pgvector, Pinecone, Weaviate, Chroma, Qdrant, Milvus — recall@k, QPS, latency, cost and scalability comparison at 100M vectors · github.com
- GitHub - nathaniel-gordon/vectorbench: 100M-scale vector database benchmark suite evaluating Qdrant, Weaviate, Milvus, pgvector, Pinecone, and Chroma on Recall@10, QPS, P99 latency, and cost. · github.com
- Vector Database Benchmark 2026: Qdrant vs Pinecone vs Weaviate vs Milvus (Real Tests) · app.ailog.fr
- GitHub - pinecone-io/VSB: Vector Search Benchmarking suite · github.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Pinecone documentation performance scaling throughput concurrency latency vector search benchmark 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Milvus documentation performance benchmark concurrent search high concurrency vector database 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Pinecone vs Milvus benchmark high dimensional vector search QPS latency recall OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |