Cake for
Agentic RAG

Overview

Traditional RAG systems retrieve relevant documents and inject them into a single prompt. But with agents, you can do way more: retrieving data iteratively, reasoning across steps, and invoking tools to complete complex, goal-oriented tasks. The challenge is stitching together vector databases, chunkers, long-context models, and orchestration tools while keeping things secure and scalable.

Cake gives you a fully integrated stack for building agentic RAG systems using open-source tools. Instead of wiring together components yourself, you can orchestrate long-context LLMs, vector databases, chunkers, and routing logic with minimal boilerplate across a scalable infrastructure. Cake saves you precious setup time and ensures your agentic RAG stack stays up-to-date with the latest technologies.

Whether you’re deploying a retrieval-augmented assistant, automating multi-step decision trees, or chaining tools for reasoning and action, Cake helps you move from experimentation to production with confidence, compliance, and control.

Key benefits

• Ship faster: Go from notebook to deployed agentic system without gluing together infrastructure.
  
  

• Use open-source tooling: Mix and match LLMs, routers, and chunkers without vendor constraints.
  
  

• Scale securely: Build workflows that grow with your data, teams, and compliance needs.