AI product
Mixedbread is a multimodal, multilingual search platform for AI agents. It ingests PDFs, decks, code, images, video, audio, and connected Slack or Drive data across more than 100 languages, then parses, OCRs or transcribes, chunks, embeds, and indexes the content with its own models and search engine.
Its retrieval stack stores multi-vectors for late-interaction search and provides semantic search, grep, reranking, and agentic search modes. Agentic search uses the Toast 1 search agent to plan and execute retrieval steps, returning curated evidence with source file, page, passage, and bounding-box information. The platform exposes Python and TypeScript interfaces and is designed to reduce the tokens and tool calls agents spend locating and reading source material.
1 use taken from transcripts — each links to the moment in the video.
A multimodal, multilingual search platform for agents: you ingest any kind of data (PDFs, spreadsheets, images, video, audio in over 100 languages) and it makes it searchable using its own late-interaction embedding models and database, with OCR/layout info, bounding-box citations, an agentic multihop search mode, and a bring-your-own-bucket zero-data-retention deployment option. A hedge fund customer's agent answer accuracy went from 36% to 98% after switching to it.
1 in the library.