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RAG

Building AI applications that can interact with private data is a common goal for many organizations. The challenge often lies in connecting large language models (LLMs) with proprietary datasets. A combination of Heroku Managed Inference and Agents and LlamaIndex provides an elegant stack for this purpose.

This post explores how to use these tools to build retrieval-augmented generation (RAG) applications. We’ll cover the technical components, Use Cases and the development process, and how to get started.

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