comparing Pinecone and Qdrant pricing and indexing speeds for scaling customer onboarding workflows in a startup
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
comparing Pinecone and Qdrant pricing and indexing speeds for scaling customer onboarding workflows in a startup
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Pinecone pricing 2026 serverless read write units storage pricing official indexing throughput benchmark Qdrant Cloud pricing 2026 official Google ↗
Pinecone vs Qdrant indexing speed benchmark ingestion throughput vector database Google ↗
- Pricing · pinecone.io
- Pricing for Cloud and Vector Database Solutions Qdrant · qdrant.tech
- How Pinecone Works: Architecture and Engineering Deep Dive · pinecone.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Pinecone pricing 2026 serverless read write units storage pricing official indexing throughput benchmark Qdrant Cloud pricing 2026 official OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Pinecone vs Qdrant indexing speed benchmark ingestion throughput vector database OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |