No — turbopuffer is operational
Get notified the next time turbopuffer goes down.
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No incidents in the last 7 days
AIWatch Data: Based on AIWatch data from the last 30 days, turbopuffer has maintained a clean record with zero incidents.
turbopuffer is a serverless vector-search database built directly on object storage. It powers retrieval-augmented generation (RAG), semantic search, and AI agent memory, and is used as the retrieval backend for products like Cursor's codebase index.
AIWatch Insight: turbopuffer is region-specific — its status page reports health per region (aws-us-east-1, gcp-us-central1, etc.) rather than a single global indicator, so an outage can affect one region without breaking the platform. turbopuffer does not publish an official uptime %, so AIWatch tracks it via incident history plus a direct response-time probe rather than a reported uptime figure.
When turbopuffer is down, applications relying on vector search for RAG, semantic search, or recommendations will fail. AI agents and code tools that depend on long-term memory or knowledge retrieval will lose context until service recovers.
This page provides real-time status, uptime history, and recent incident details — updated every 5 minutes by AIWatch.
Is turbopuffer down right now?
Check the live status indicator at the top of this page. AIWatch monitors turbopuffer every 5 minutes and shows real-time operational status.
Why is turbopuffer slow today?
turbopuffer latency can be affected by region-specific issues, namespace size, or query patterns. Check this page for active incidents.
What are alternatives to turbopuffer?
Based on current AIWatch data, Pinecone (Score: 55) is the most reliable alternative right now. For vector search, Pinecone is a fully-managed vector database, and self-hosted options like Qdrant, Weaviate, and pgvector are mature. AIWatch shows current availability.
How do I check turbopuffer status?
You can check turbopuffer status on this page, on the official turbopuffer status page at status.turbopuffer.com, or on the AIWatch dashboard at ai-watch.dev.
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