Mixedbread

Quickstart

Get started with Mixedbread in under 5 minutes. This guide walks you through setting up your development environment and using our core features: Vector Stores, Embeddings, Reranking, and Document Parsing.

Install the SDK

First, install the Mixedbread SDK for your preferred language:

Get your API key

Before making API requests, you'll need to obtain an API key:

  1. Go to the page.
  2. Click Create API Key.
  3. Copy your key immediately—it won't be displayed again.

Authentication setup

After obtaining your API key, configure the SDK:

Vector Stores

Transform any data into an AI-native search engine. Upload documents, images, or structured data, and instantly make them searchable with natural language queries and AI agents:

Embeddings

Convert any content—text, images, documents—into AI-understandable representations. Our multimodal embedding models capture semantic meaning across different data types, enabling intelligent search and AI applications:

Reranking

Take your search results from good to exceptional. Reranking understands query intent and context to reorder results by true relevance, dramatically improving user experience:

Document Parsing

Make complex documents AI-ready. Extract clean, structured content from PDFs, presentations, and images that's perfect for search indexing and LLM consumption:

Next Steps

Need help? Join our or .

Introduction
Transform any data into intelligent, searchable experiences. Make documents, images, code, and structured data instantly discoverable with AI-native search.
Models
Explore Mixedbread's embedding and reranking models to transform text into vectors for semantic search, RAG, clustering, and more.

Last updated: June 11, 2025