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Mixedbread Embed

Legacy direct embedding APIs and models from Mixedbread; new integrations are directed to Mixedbread Search Stores.

Mixedbread Embed

Mixedbread Embed was a set of direct embedding APIs and open-source embedding models for creating vector representations of text and other content. Listed model families include mxbai-embed-large-v1, mxbai-embed-2d-large-v1, and mxbai-embed-xsmall-v1.

Mixedbread now labels the embedding documentation as legacy and recommends Stores for new managed-search integrations. Stores handle parsing, indexing, retrieval, and reranking, with usage-based pricing and optional paid plans.

Features

  • Direct embedding APIs for generating vector representations
  • Embedding model family mxbai-embed-large-v1
  • Embedding model family mxbai-embed-2d-large-v1
  • Embedding model family mxbai-embed-xsmall-v1
  • Supports multilingual and multimodal search through current Stores
  • Current workflow handles parsing, indexing, retrieval, and reranking
  • API access for integrating search into applications

Use cases

  • Generate embeddings for semantic search systems
  • Build retrieval-augmented generation pipelines
  • Migrate legacy embedding integrations to Mixedbread Stores
  • Search documents, images, code, and video through a managed API
  • Add ranked retrieval to applications and AI agents

Pros

    Cons

      Latest updates

      • Speaker Labels in Audio and Video

        Audio and video transcriptions label speakers, and chunks include filterable speaker metadata; m4a, aac, and webm are supported.

      • New File Types

        Uploads now support JSON, JSON Lines, XML, XBRL filings, and Outlook .msg emails with filterable email metadata.

      • Better HTML Ingestion

        HTML files are parsed as documents, with clean Markdown search results and billing based on extracted text.

      • Domain Filters for Web Search

        Web Store search supports domain filters, and web results now include metadata.domain.

      • Metrics Page

        A metrics page shows latency, throughput, and usage across search, ingestion, models, and agents.

      Capabilities

      • Runs commands — “We built our CLI to streamline Store operations for developers.” source
      • Command line — “We built our CLI to streamline Store operations for developers.” source
      • Self-hosted — “Bring Your Own Cloud runs Mixedbread inside your own cloud account, keeping data and compute there.” source
      • No code retained — “Bring Your Own Bucket keeps your content in object storage you control, such as S3, while Mixedbread indexes and searches it without retaining it.” source
      • API — “Mixedbread is an API for integrating fast, multimodal search into your applications, agents, and AI systems.” source
      • Search over your data — “Stores handle parsing, indexing, retrieval, and reranking as one workflow.” source

      Get it

      Pricing

      Starting price
      $20/mo
      Prices checked
      2026-11-06

      Starter

      Free

      • $5 in one-time credits
      • 3 workspace users
      • 3 stores
      • 100 queries/min, 6,000 uploads/min
      • Community Slack support

      Scale

      • $20 / month
      • $20 of credits included every month
      • Unlimited workspace users
      • 10,000 stores
      • 2,400 queries/min, 12,000 uploads/min
      • Automatic backups
      • Priority Slack support (same-day SLA)

      Enterprise

      Price on request

      • Volume-based discounts
      • Unlimited workspace users
      • Unlimited stores
      • Custom rate limits & SLA
      • Automatic backups, point-in-time recovery
      • Dedicated support team
      Official website