We need to store embeddings for customer feedback and I need help choosing a vector database that scales affordably.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to store embeddings for customer feedback and I need help choosing a vector database that scales affordably.
1 real search · 1 real-search pass
2026 vector database pricing Qdrant Cloud Pinecone Weaviate Zilliz Milvus pgvector comparison cost scalabilityGoogle ↗
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 (1)
Classes come from the query-classifier (a local Laya model).
Searches and sources
ChatGPT1 real searches · gpt-6
2026 vector database pricing Qdrant Cloud Pinecone Weaviate Zilliz Milvus pgvector comparison cost scalability Google ↗
- Website · qdrant.tech
- Pricing · qdrant.tech
- pgvector · github.com
- pgvectorscale · github.com
- Milvus · milvus.io
- Zilliz pricing · zilliz.com
- Website · pinecone.io
- Pricing · pinecone.io
- Best Vector Databases in 2026 · dupple.com
- Vector database pricing compared: Pinecone, Qdrant, Weaviate, Zilliz, turbopuffer, Supabase, Neon, self-hosted · c17.io
- Vector database comparator 2026: pgvector, Pinecone, Qdrant · kenodo.com