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Managed vector database for semantic search, RAG, recommendation systems, and similarity matching.
AI creates the full system diagram from this spec — interactive, explorable, exportable.
| Category | Requirement | Target |
|---|---|---|
| Performance | Query latency | < 50ms P99 for top-K queries on billions of vectors |
| Scalability | Index size | Billions of vectors per serverless index |
| Availability | Database | 99.95% — RAG pipelines depend on vector search |
| Security | Isolation | SOC2, namespace-level tenant isolation, encryption at rest |
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Generate the architecture, export as code, push to GitHub — all in one click.