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LlamaIndex Webinar: Using RAG with LlamaIndex 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, which is crucial for enterprises adopting code generation to maintain high code quality and integrity.
In this webinar, we presented an advanced approach to RAG, building on top of LlamaIndex infrastructure. We’ll also demonstrate examples of practical applications of context-aware generative AI to enhance the coding process across the development lifecycle.
In the webinar, you will learn about:
1. Addressing RAG challenges in large-scale code repositories
2. How CodiumAI leveraged LlamaIndex to enhance contextual awareness in code generation
3. Best practices to improve generated code quality using LlamaIndex for indexing and retrieval
4. Advanced RAG solutions for the enterprise
In this webinar, we presented an advanced approach to RAG, building on top of LlamaIndex infrastructure. We’ll also demonstrate examples of practical applications of context-aware generative AI to enhance the coding process across the development lifecycle.
In the webinar, you will learn about:
1. Addressing RAG challenges in large-scale code repositories
2. How CodiumAI leveraged LlamaIndex to enhance contextual awareness in code generation
3. Best practices to improve generated code quality using LlamaIndex for indexing and retrieval
4. Advanced RAG solutions for the enterprise