Mixedbread

Mixedbread is a Search API designed to turn documents into discoverable and understandable context for AI applications. It enables developers to upload data in any format—PDFs, images, documents, audio, video, and code—and instantly make it searchable with natural language queries. The platform delivers high-quality parsed content ready for downstream AI tasks with sub-200ms response times.

• Multimodal Search allows searching across any data type including PDFs, images, documents, audio, video, and code files, automatically understanding and processing content with proprietary models.

• Multilingual Support covers 100+ languages, enabling cross-language search capabilities for global applications.

• Auto Parsing transforms documents into structured data by extracting text, tables, and layouts from PDFs, images, and complex documents without manual preprocessing.

• Self-Improving System learns from user interactions to continuously improve search result quality over time.

• Stores serve as managed search indexes that transform unstructured data into searchable knowledge bases accessible via API.

• High Accuracy delivers 60% higher accuracy than industry standards with 61% higher citation precision for trustworthy AI references.

• Scalable Infrastructure handles billions of queries per day with 99.99% success rate and P50 latency around 102ms.

• MCP Integration bridges AI assistants like Claude Desktop, Cursor, and Claude Code to directly search and retrieve context from knowledge bases.

• CLI Tool streamlines store operations with bulk file uploads, directory syncing, and CI/CD pipeline integration.

• Inference API provides direct access to embedding and reranking models used by millions of developers worldwide.

To get started, sign up for a free Basic plan, create a Store through the dashboard or API, upload your documents, and begin searching. The platform offers Python and TypeScript SDKs for seamless integration into existing workflows.