Real ChatGPT answer · index seedr6l3jg1UQTccompleteB2B software · data and analytics platformscomparison

We need to choose a vector database for our semantic search engine handling millions of embeddings with low latency requirements.

ChatGPTgpt-64 queries10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
We need to choose a vector database for our semantic search engine handling millions of embeddings with low latency requirements.
4 real searches · 1 real-search pass
2026 vector database comparison Qdrant Milvus Weaviate Pinecone Vespa performance filtering HNSW million vectorsGoogle ↗
OBSERVEDComparison
Qdrant documentation indexing HNSW filtering payload index quantization distributed deploymentGoogle ↗
OBSERVEDOther / navigational
Milvus documentation index types HNSW IVF DiskANN filtering performanceGoogle ↗
OBSERVEDReason
Pinecone documentation vector database serverless performance filtering metadataGoogle ↗
OBSERVEDOther / navigational

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 (4)
Short factOther / navigational50%Comparison25%ConsequenceReason25%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 3 of 4 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT4 real searches · gpt-6
2026 vector database comparison Qdrant Milvus Weaviate Pinecone Vespa performance filtering HNSW million vectors Google ↗
Qdrant documentation indexing HNSW filtering payload index quantization distributed deployment Google ↗
Milvus documentation index types HNSW IVF DiskANN filtering performance Google ↗
Pinecone documentation vector database serverless performance filtering metadata Google ↗
  1. Qdrant docs · qdrant.tech
  2. Indexing · qdrant.tech
  3. Filtering in Vector Search: When to Use What · qdrant.tech
  4. Overview · qdrant.tech
  5. Milvus docs · milvus.io
  6. Index Explained Milvus v2.5.x documentation · milvus.io
  7. Prompt: Milvus Index Selection · milvus.io
  8. Weaviate docs · docs.weaviate.io
  9. Pinecone docs · docs.pinecone.io

Queries

4 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
2026 vector database comparison Qdrant Milvus Weaviate Pinecone Vespa performance filtering HNSW million vectors
OBSERVED
Google ↗
AI Mode ↗
—Comparison——1x
of 1
Qdrant documentation indexing HNSW filtering payload index quantization distributed deployment
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
Milvus documentation index types HNSW IVF DiskANN filtering performance
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
Pinecone documentation vector database serverless performance filtering metadata
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1