Rag

CodeWiki Bot is an AI-powered documentation and chat assistant that sits on top of a codebase. Instead of hunting through repos and outdated wikis, developers just ask — and get grounded answers, cross-repo dataflow diagrams, and architecture context on demand. What it does Graph-RAG engine — combines a knowledge graph of the code with retrieval-augmented generation, so answers understand relationships between modules, not just keyword matches. Cross-repo dataflow & architecture diagrams — automatically generated from indexed code, spanning multiple repositories. Natural-language chat over the codebase — ask “where is X handled?” or “how does data flow from A to B?” and get a sourced answer. Semantic search across Azure DevOps repos — 12,000+ documents indexed and kept in sync. Why Graph-RAG (not plain RAG) Plain RAG retrieves similar text chunks. A graph layer adds the structure of the codebase — call relationships, data flow, module dependencies — so the bot can reason across files and repos instead of answering from isolated snippets. That’s what makes cross-repo diagrams and “how does this connect” questions possible. ...