Real ChatGPT answer · index seedHWZTVLZxTuAcompleteB2B software · data and analytics platformscommercial
How do modern vector databases compare in terms of query latency and memory consumption when indexing over ten million customer support chat logs
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do modern vector databases compare in terms of query latency and memory consumption when indexing over ten million customer support chat logs
4 real searches · 1 real-search pass
vector database benchmark 10 million vectors latency memory HNSW IVF Qdrant Milvus Weaviate 2025Google ↗
OBSERVED
Qdrant memory optimization vectors HNSW on disk quantization documentationGoogle ↗
OBSERVED
Milvus memory usage index types HNSW IVF_FLAT DiskANN documentationGoogle ↗
OBSERVED
Weaviate vector index HNSW memory usage compression 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
vector database benchmark 10 million vectors latency memory HNSW IVF Qdrant Milvus Weaviate 2025 Google ↗
Qdrant memory optimization vectors HNSW on disk quantization documentation Google ↗
Milvus memory usage index types HNSW IVF_FLAT DiskANN documentation Google ↗
Weaviate vector index HNSW memory usage compression documentation Google ↗
- Vector Database Benchmarks I Actually Ran: Qdrant, Weaviate, and pgvector at 1M and 10M Vectors · mohakdeepsingh.dev
- Database Optimization · qdrant.tech
- Memory Tiers · qdrant.tech
- Official website · qdrant.tech
- Index Explained · milvus.io
- Official website · milvus.io
- Vector Indexing · docs.weaviate.io
- Compression · docs.weaviate.io
- Official website · weaviate.io
- Official website · pinecone.io
- Official repository · github.com
Queries
4 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
vector database benchmark 10 million vectors latency memory HNSW IVF Qdrant Milvus Weaviate 2025 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Qdrant memory optimization vectors HNSW on disk quantization documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Milvus memory usage index types HNSW IVF_FLAT DiskANN documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Weaviate vector index HNSW memory usage compression documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |