Custom-Made Code: Using RAG for Large-Scale Generative Coding

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Retrieval-Augmented Generation (RAG) plays a central role in achieving contextual awareness in AI-generated code. This is crucial for enterprises adopting code generation to maintain high code quality and integrity.

In this webinar, we’ll present an advanced approach to RAG and the practical applications of context-aware generative AI to enhance coding process across the development pipeline.

Join us to learn about:
- Enhancing contextual awareness in code generation
- Addressing RAG challenges in large-scale repositories
- Best practices to enhance code quality and integrity
- Advanced RAG solutions for the enterprise
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How do you tackle changes in the codebase, like some files are deleted and some are created. How will the vector db get updated

avinier
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Do you keep index of different versions of codebase? (adding ability to 'talk' to different branches of codebase)

igorbilyk