We need to compare Pinecone serverless indexing costs against self-hosting Milvus on AWS EC2 for a dataset containing 50 million 1536-dimensional vectors
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to compare Pinecone serverless indexing costs against self-hosting Milvus on AWS EC2 for a dataset containing 50 million 1536-dimensional vectors
3 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.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
Pinecone serverless pricing storage write units read units 2026 official pricing Google ↗
AWS EC2 pricing memory optimized instances us-west-1 on demand official pricing 2026 Google ↗
Milvus sizing 50 million 1536 dimensions memory index HNSW IVF official docs Google ↗
- Index Explained · milvus.io
- How do you estimate memory for vector search? · blog.milvus.io
- Pricing · pinecone.io
- Manage Serverless Costs with Read Units · pinecone.io
- AWS EC2 prices in US West (N. California) (us-west-1) · instances.usage.ai
- EC2 On-Demand Instance Pricing · aws.amazon.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Pinecone serverless pricing storage write units read units 2026 official pricing OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
AWS EC2 pricing memory optimized instances us-west-1 on demand official pricing 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Milvus sizing 50 million 1536 dimensions memory index HNSW IVF official docs OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |