kyopark2014/rag-code-generation
It decribes code generation using RAG.
This project helps software developers quickly generate code snippets from their existing codebase using natural language. Developers can upload their source code, which is then summarized function-by-function. When a developer asks a question in Korean, the tool retrieves relevant code and generates new code, streamlining the development process by making existing code more accessible.
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Use this if you are a software developer working with a large codebase and want to quickly find and generate code snippets in Korean based on natural language queries, without the overhead of fine-tuning large language models.
Not ideal if you primarily need to generate entirely new, complex applications from scratch, or if your main goal is to analyze code for security vulnerabilities or performance issues.
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Language
Python
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Last pushed
Apr 28, 2024
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