The Retrieval Infrastructure for agents.
San Francisco, CA
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Introducing Toast 1, our first specialised search agent.
Toast 1 sets a new Pareto frontier for agentic search models.
Frontier search quality, across all domains, 12x faster, at 1/10th of the price.
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New: Connect Mixedbread to your OpenTelemetry provider
Teams build agents that grep, search, use Toast 1 for deep search with Mixedbread. Their actions should be transparent and observable.
Now you can export every agent action to your OpenTelemetry provider (Langfuse, Braintrust, etc.):
→ trace every search and tool call
→ debug retrieval and agent behavior
→ measure latency and identify bottlenecks
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Mixedbread is retrieval infrastructure for AI agents to find the right evidence across text, PDFs, tables, images, audio, and videos.
We process millions of documents and searches every week. Our control plane runs on @planetscale Metal.
→ 0.05 ms p99 for our busiest access-control query
→ under 1.5ms p99 over every hot query pattern
→ faster debugging with Query insights and agent integrations
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New: Streaming for agentic search
You can now use agentic search and show intermediate steps.
Watch Toast 1 gather gold evidence for a @mercor's APEX-Agents Law task in real time.
Toast 1 is live at launch pricing. Try it yourself ↓
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Enable agentic search streaming for Toast 1: mixedbread.com/docs/stores/s…
mixedbread.com/blog/toast-1
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New: Beating Fable 5 in deep search and helps you save tokens.
Toast 1 is now live on Mixedbread API at launch pricing:
Input: $0.50 → $0.30/1M
Output: $1.20 → $0.72/1M
Cached input: $0.06 → $0.036/1M
OpenAI-compatible. New signups get $5 in credits.
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Point your agent to the toast harness:
github.com/mixedbread-ai/toa…
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Introducing Toast 1, our first specialised search agent.
Toast 1 sets a new Pareto frontier for agentic search models.
Frontier search quality, across all domains, 12x faster, at 1/10th of the price.
52
76
960
152,417
You can try it yourself. Ask the agent to dig through all of @dwarkesh_sp's podcast archives, and get the answer to your question as well as clear sources that support it.
dwarkesh-search-demo.vercel.…
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