From Raw Files to
AI Search in Minutes.

Use Mixedbread as a fully-managed AI search engine—or pick only the parts you need, from embedding & reranking models to document parsing.

Integrates with Google Drive, SharePoint, Notion, Slack, and your tools

Trusted by developers worldwide with over

Models Used by the Best

The Complete AI Search Stack

Everything you need to build production-ready AI search and RAG applications. From document parsing to multimodal vector search. Get started in minutes.

Vector Stores

Multimodal search in 4 lines of code. Deploy production-ready vector databases that understand context across text, images, audio, video, and documents in 100+ languages.

Q4 2023 financial statements
ESC
3 Results found in multiple formats
2023 Q4 Earnings Report - Acme Inc.PDF, English, 42 pages
2023年第4季度财务报告 - Acme Inc.Video, Chinese, 10 minutes
Q4 2023 Consolidated Financials - Acme Inc.XLSX, English, 4 sheets
Embeddings & Reranking

MTEB leaderboard models with 50M+ downloads. Get state-of-the-art accuracy for semantic search and RAG with models that outperform OpenAI—while staying open-source and cost-effective.

Reranking Model PerformanceBEIR (Relative)
mxbai-rerank-large-v2100%
cohere-rerank-3.596.3%
bge-reranker-v2-gemma96.3%
voyage-rerank-294.9%
Document Parser

Advanced OCR + layout understanding. Extract text, tables, and structure from PDFs, images, and complex documents with 95%+ accuracy. Get clean, structured content ready for LLMs and search.

FINANCIAL DOCUMENTS

Enterprise Deployment

Deploy Mixedbread anywhere. On-premises, VPC, or cloud—with enterprise-grade security and , , and compliance. Scale to millions of documents with full data sovereignty and control.

System StatusAll Systems Operational
Vector Stores
99.99% Uptime
Embedding Models
99.99% Uptime
Document Parsing
99.99% Uptime
Reranking Models
99.99% Uptime

Industry-Leading Open Source Models

Our models outperform closed-source alternatives while staying open to everyone through Hugging Face.

Total Model Downloads on
Hugging Face

Languages supported by
mxbai-rerank-v2

Cost Savings with BQ and
mxbai-embed-large-v1

Monthly Model Downloads on
Hugging Face

Ship Search in 4 Lines

Skip months of infrastructure setup. Deploy production-ready multimodal semantic search and RAG with simple REST APIs. Better performance as building it in-house—100x faster.

DocumentationAPI Reference