Introduction
Build better search, retrieval, and AI applications with state-of-the-art models and tools.
Mixedbread helps developers build better search, retrieval, and AI applications with state-of-the-art models and tools. Our platform combines high-performance embeddings, reranking, document intelligence, and an end-to-end search solution to power the next generation of AI-enhanced applications.
Quickstart Guides
Get up and running in under five minutes with these practical guides:
Vector Stores
Create and query vector stores to power semantic search in your applications.
Embeddings
Transform your text into high-quality vector representations using our embedding API.
Reranking
Dramatically improve search relevance by reordering results based on semantic understanding.
Document Parsing
Extract structured content from documents with our intelligent parsing tools.
Learn the Fundamentals
Understand the theory and concepts powering modern search and retrieval systems:
Core Concepts
Master embeddings, vector search, reranking, and RAG to build better AI applications.
Engineering Blog
Explore tutorials, benchmarks, and best practices from our engineering team.
Explore Our Models
Leverage our state-of-the-art open-source model families:
Embedding Models
Discover our efficient embedding models optimized for various domains and languages.
Reranking Models
Explore our powerful v2 rerankers that significantly boost search quality.
Build with Our API & SDKs
Integrate Mixedbread into your applications with our developer tools:
API Reference
Comprehensive documentation of endpoints, parameters, response formats, and error codes.
Client SDKs
Official Python and TypeScript libraries for seamless integration.
Join Our Community
Discord
Get support, share your projects, and connect with other developers.
Stay updated with the latest features, models, and community highlights.
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Last updated: May 14, 2025