Custom RAG pipeline for context-powered code reviews

Qodo Merge has introduced Retrieval-Augmented Generation (RAG) for Bitbucket Cloud to enhance pull request reviews with automated compliance checks. In large enterprise environments where codebases are complex, RAG combines the generative capabilities of AI with targeted retrieval of code references to address the challenge of reviewing code with limited context. By indexing the company codebase and integrating it with Qodo Merge, RAG offers context-aware responses, up-to-date knowledge, and consistent code suggestions. It also facilitates knowledge discovery by providing relevant examples and insights from the repository. The implementation includes several features such as the 'Review' command, which uses RAG to enrich PR analysis with context from similar code patterns, the 'Implement' command, which ensures consistency with existing code patterns, and the 'Ask' command, which enhances the ability to answer questions with broader codebase awareness. Continuous improvements and future developments aim to expand the tools enriched with RAG while refining the logic and prompts to reduce noise and enhance content quality.

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