Building a RAG Pipeline for Semantic Code Search

The article explains how a production-grade RAG pipeline for semantic code search can materially improve developer productivity by helping AI agents find the right code by meaning, not just keywords or grep. For CIOs and technology leaders, the strategic takeaway is that as software delivery becomes more agent-driven, IT organizations will need retrieval systems that provide precise, citable repository context to reduce wasted model time, improve code quality, and make AI-assisted development reliable at enterprise scale.