RAG for a Codebase with 10k Repos

CodiumAI addresses the complexities of large-scale enterprise codebases with their Retrieval Augmented Generation (RAG) pipeline. The blog by Tal Sheffer highlights the challenges and solutions in applying RAG to 10k+ code repositories, focusing on intelligent chunking, maintaining context, enhancing code embeddings, and advanced retrieval techniques for improved AI-powered code generation.

• Tal Sheffer authored the blog.
• The blog is a 7 min read.
• Posted on July 10, 2024.
• Covers RAG application.
• Targets enterprise codebases.