How Even the Simplest RAG Can Empower Your Team

The article introduces the concept of using a Retrieval Augmented Generation (RAG) system to empower development teams, focusing on its application for managing source code. It explains how RAG enhances Learning Language Models (LLMs) by using relevant context from an indexed codebase, allowing developers to obtain more precise answers without sharing their code externally. The piece highlights the potential of this system to improve codebase understanding and provides a lightweight prototype using open-source tools like LangChain and JinaAI.

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