Multimodal file processing
Upload PDFs, Word documents, PowerPoint and Excel files, images, code, video, audio, and other file formats. Mixedbread processes text and visual elements, including tables and complex layouts.
Mixedbread is a multimodal search API and retrieval platform for applications and AI agents. It processes files such as PDFs, documents, images, code, audio, and video, then returns searchable, ranked evidence for downstream tasks.
Mixedbread is a multimodal search API and retrieval platform for AI applications and agents. It turns unstructured content—such as PDFs, office files, images, code, audio, and video—into searchable data, so an application can retrieve relevant evidence without separately operating parsing, embedding, or vector-database infrastructure.
The basic workflow is to create a store, upload files, and search the store with natural-language queries. Mixedbread supports semantic retrieval, exact and regular-expression matching, reranking, and agentic search. Search results can carry source information such as the file, page, and passage, allowing an application or reviewer to trace an answer back to the underlying content. The platform states that it handles tables, complex layouts, and content across more than 100 languages.
Upload PDFs, Word documents, PowerPoint and Excel files, images, code, video, audio, and other file formats. Mixedbread processes text and visual elements, including tables and complex layouts.
Choose semantic search for meaning-based retrieval, grep for exact or regular-expression matching, reranking for refined result ordering, or agentic search for a broader retrieval loop.
Toast 1 is Mixedbread’s specialized search agent for knowledge tasks. It can run the search loop across operations such as search, grep, and reading chunks, then return selected evidence.
Results can include the source file, page, passage, and, where applicable, bounding-box information. The site also describes tracing searches, reads, and agent steps for inspection.
The hosted API uses API-key authentication and is documented with request and response specifications, examples, and rate-limit guidance. Official Python and TypeScript SDKs are available.
Mixedbread says its processing and search work across more than 100 languages, allowing users to search multilingual collections without adding a separate translation layer.
Build an agent that answers from contracts, filings, internal documents, or other organizational files, with returned passages and source metadata available for verification.
Give a coding agent a searchable store of code and let it find relevant implementation details or validation logic instead of relying only on broad, manual context collection.
Index video and audio collections so an application can retrieve relevant spoken or visual material through natural-language queries. The site states that higher-quality processing can include transcription and AI-generated descriptions.
Use the API as the retrieval layer for an AI application: upload source material, query it at runtime, and pass ranked evidence to the downstream model.
Use a store as searchable memory across sessions, allowing an agent to retrieve previously indexed information when the application needs context beyond the current interaction.
Create a Mixedbread account and API key, create a store, upload files, and query the store. The API documentation lists `https://api.mixedbread.com/` as the base URL and provides Python and TypeScript SDK quick starts.
The site describes support for PDFs, Word documents, PowerPoint, Excel, images, code, video, and audio, as well as text and other file formats. It also describes processing tables, visual elements, and complex layouts.
Mixedbread provides semantic search, grep for exact or regular-expression matching, reranking, and agentic search. Toast 1 is the platform’s specialized agent for running a broader knowledge-retrieval loop.
Yes. The homepage says results can carry source information such as the file, page, and passage, and may include a bounding box. It also describes tracing searches, reads, and agent steps.
The Starter plan is free and includes one-time credits. Scale costs $20 per month with $20 in included credits, followed by pay-as-you-go usage, while Enterprise uses a custom contract. Usage rates apply to operations such as indexing, search, Toast 1 inference, and storage; bandwidth and egress are included according to the pricing page.
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