Cake for Enterprise RAG

Bring retrieval-augmented generation to enterprise scale—securely and repeatably

Retrieval-augmented generation (RAG) gives LLMs real context for better answers. But at the enterprise level, the context is massive, fragmented, and access-restricted. Moving beyond demos requires production-grade ingestion, fine-tuned access controls, and traceable responses you can defend in audits.

Cake gives you the full RAG stack: ingest data from S3, SaaS APIs, or SQL; chunk, embed, and store it in performant vector DBs like Weaviate; and orchestrate retrieval pipelines with open tooling like LangChain and LlamaIndex. Everything is cloud-agnostic, composable, and auditable for real-world enterprises.

From regulated industries to internal knowledge management, Cake makes it easy to move from pilot to production—without duct tape, vendor lock-in, or surprise costs.

Key benefits

• Deploy faster without vendor lock-in: Use open-source components and Cake’s orchestration to build quickly and own your stack. Cake ensures the stack stays up-to-date with the latest technologies, giving you the best-in-class performance
  
  
• Secure your data: Apply fine-grained access controls, data masking, and audit-ready workflows by default.
  
  

• Adapt as you scale: Integrate with any data source or environment using a fully composable RAG stack.