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Mixedbread

www.mixedbread.com

Managed search API that ingests PDFs, slides, images, audio, video and code, then lets apps and agents query it with semantic search, grep, reranking or an agentic search model that returns cited passages.

Search & RetrievalMCP

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About Mixedbread

Agents and RAG apps that work over private files need parsing, OCR, embeddings, a vector store and a reranker wired together, and every extra layer is another thing to tune and pay for.

Who it’s for

  • Developers giving coding or knowledge agents search over their own documents, code or media through an SDK or MCP server
  • Teams that want hosted multimodal retrieval without running their own embedding model or vector database

When to consider it

Consider Mixedbread when you want one hosted API to index files in many formats and return ranked, source-cited results to an agent, with Python and TypeScript SDKs and an MCP server.

Tradeoffs & limitations

  • Usage-based pricing: indexing costs $1.50 (Fast) or $3 (High Quality) per 1M content tokens, semantic search $4 per 1,000 queries ($7.50 with reranking) and storage $0.50 per 1M content tokens per month; the free Starter plan gives $5 in one-time credits, and Scale is $20 a month including $20 of credits.
  • Hosted service: the free plan is limited to 3 stores and 100 queries per minute, and the Wholembed V3 embeddings are only usable through Mixedbread's own Silo store, not as standalone vectors; bring-your-own-bucket and bring-your-own-cloud are Enterprise only.

SOTA overview · Documentation-based assessment · Sources & review method

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Sources & review method

Documentation-based assessment · Nov 1, 2026 · Prepared with AI assistance; not a hands-on benchmark.

Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.

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Mixedbread official website

Scope: Product overview · Imported Nov 1, 2026

Managed search API that ingests PDFs, slides, images, audio, video and code, then lets apps and agents query it with semantic search, grep, reranking or an agentic search model that returns cited passages.

Based on official pages and announcements checked on 2026-11-01. No hands-on test, performance benchmark or popularity ranking is claimed.