DataBridge is a database that makes it easy to create fast, versatile, and production-ready AI apps and agents.

Key features include:

  • First class support for Unstructured Data: Unlike traditional databases, DataBridge allows users to directly ingest unstructured data of all forms - including (but not limited to) videos and PDFs. We’ve built research-driven custom algorithms to ensure state-of-the-art retrieval accuracy.
  • Persistent KV-caching: For documents you reference often, you can process them once and freeze the LLM’s internal state such that you can use it again later. This helps drastically reduce compute costs as well speed up model responses.
  • Out of the box MCP support: DataBridge has built in support for the open-source Model Context Protocol - so you can integrate your knowledge with any MCP client in a single click.
  • Natural Language Rules Engine: Define natrual language rules that dictate how your data is ingested and queried. Think of it like defining schemas for your unstructured data.
  • Completely Open-source: You can check out DataBridge core code here!.

Get started with DataBridge with our guide. Alternatively, if you’d like more in-depth explanations for key concepts we apply, check out the guides below:

Get Started

Start using DataBridge now!

Configure DataBridge

Customize DataBridge to your liking using the databridge.toml file.

Retrieval Augmented Generation

An explanation of the underlying ideas behind RAG

Multimodal Data

What does Mutlimodal mean? How does DataBridge work with this kind of Data?

Getting Started