A RAG for Elixir

The article discusses the use of a Retrieval Augmented Generation (RAG) system with Elixir codebases. It explains how to adapt existing RAG systems to read and understand Elixir code by leveraging LangChain and Tree-sitter. The process involves document loading and parsing, enabling conversations about Elixir codebases with a large language model (LLM). This initiative aims to enhance team efficiencies by allowing interactive codebase discussions without third-party exchanges like OpenAI. It highlights the development of a new parser for Elixir within LangChain, enabling the parsing of Elixir code. The article provides a hands-on approach to setting up a local RAG application that allows teams to query their codebase, offering insights on code structure and features necessary for improving parsing capabilities over time.

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