Real ChatGPT answer · index seedL6ClvdtZpjIcompleteB2B software · data and analytics platformsinformational
I am researching vector databases for my senior thesis so could you compare Pinecone and Milvus query latency benchmarks
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am researching vector databases for my senior thesis so could you compare Pinecone and Milvus query latency benchmarks
6 real searches · 1 real-search pass
Pinecone vs Milvus vector database query latency benchmark independent comparison p95 recall datasetGoogle ↗
OBSERVEDComparison
Pinecone performance benchmark query latency documentation p95 vector searchGoogle ↗
OBSERVEDOther / navigational
Milvus benchmark query latency performance documentation ANN benchmarkGoogle ↗
OBSERVEDReason
official VectorDBBench Pinecone Milvus benchmark results latency methodology 2025 2026Google ↗
OBSERVEDReason
Milvus official performance benchmark search latency p95 HNSW documentation query performanceGoogle ↗
OBSERVEDReason
Pinecone official benchmark latency query performance serverless vector database benchmark methodologyGoogle ↗
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 (6)
Classes come from the query-classifier (a local Laya model). 5 of 6 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT6 real searches · gpt-6
Pinecone vs Milvus vector database query latency benchmark independent comparison p95 recall dataset Google ↗
Pinecone performance benchmark query latency documentation p95 vector search Google ↗
Milvus benchmark query latency performance documentation ANN benchmark Google ↗
official VectorDBBench Pinecone Milvus benchmark results latency methodology 2025 2026 Google ↗
Milvus official performance benchmark search latency p95 HNSW documentation query performance Google ↗
Pinecone official benchmark latency query performance serverless vector database benchmark methodology Google ↗
- 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
- Performance · sdk.pinecone.io
- What is Milvus · milvus.io
- Milvus 2.2 Benchmark Test Report Milvus v2.4.x documentation · milvus-io-dev.zilliz.cc
- GitHub - pinecone-io/VSB: Vector Search Benchmarking suite · github.com
Semantic map
Every query placed by meaning (EmbeddingGemma 2, 256-d). Shaded regions are topics, nearby points are near-paraphrases, and a circle's size is how often the query came back.
Colour
SimulatedReal search
Hover a query to see its counterpart · zoom with Ctrl/⌘ + scroll, a pinch, double-click or +
Queries
6 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Pinecone vs Milvus vector database query latency benchmark independent comparison p95 recall dataset OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Pinecone performance benchmark query latency documentation p95 vector search OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Milvus benchmark query latency performance documentation ANN benchmark OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
official VectorDBBench Pinecone Milvus benchmark results latency methodology 2025 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Milvus official performance benchmark search latency p95 HNSW documentation query performance OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Pinecone official benchmark latency query performance serverless vector database benchmark methodology OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |