Overview

Mixedbread Developer Documentation

Mixedbread is the Search Engine built for AI.
Transform your unstructured data into just the right context, in a few lines of code.

from mixedbread import Mixedbread

mxbai = Mixedbread(api_key="YOUR_API_KEY")

results = mxbai.vector_stores.search(
    query="How does this technology work?",
    vector_store_identifiers=["My Knowledge Base"]
)

Vector Stores

Vector Stores are AI-powered search indexes that understand any data format - from PDFs to images to code.

Overview

Understand how Vector Stores work and how to use them.

Ingestion

Learn how to ingest data into a Vector Store efficiently.

Create a search experience for your data.

Inference

Access our state-of-the-art embedding and reranking models.

Embedding

Create semantic vectors from your data.

Reranking

Boost search quality with our rerankers.

Tools

Tools allow you to access all functionalities of the platform easier.

CLI

Use our CLI to handle Vector Stores from your terminal.

MCP

Enable your LLM to search your mixedbread Vector Stores.

Join Our Community

Our community consists of leading people in the field.

Discord

Get support, share your projects, and connect with other developers.

Twitter

Stay updated with the latest features, models, and community highlights.

Follow our company updates and technical content for professionals.

Quickstart

Build your AI Search Engine in minutes. Create Vector Stores that understand any data format and provide precise context for your AI applications.

Last updated: August 18, 2025

Overview

Mixedbread Developer Documentation

Vector Stores

Inference

Tools

Join Our Community

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