What is the best vector database provider for handling fifty million high-dimensional embeddings on AWS right now, factoring in recent price cuts?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best vector database provider for handling fifty million high-dimensional embeddings on AWS right now, factoring in recent price cuts?
1 real search · 1 real-search pass
AWS vector database providers 50 million high dimensional embeddings pricing cuts 2026 Pinecone Qdrant Weaviate Zilliz OpenSearch pricing comparisonGoogle ↗
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 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
AWS vector database providers 50 million high dimensional embeddings pricing cuts 2026 Pinecone Qdrant Weaviate Zilliz OpenSearch pricing comparison Google ↗
- Amazon S3 Vectors reduces query charges by up to 80% for large vector indexes · aws.amazon.com
- S3 Pricing · aws.amazon.com
- Pricing for Cloud and Vector Database Solutions Qdrant · qdrant.tech
- Pricing · pinecone.io
- Vector Database Pricing · weaviate.io
- AWS Prescriptive Guidance - Choosing an AWS vector database for RAG use cases · docs.aws.amazon.com
- Amazon S3 FAQs - Cloud Object Storage · aws.amazon.com
- S3 Pricing · aws.amazon.com.cdn.amazon.com