Repo-to-RAG

Converts GitHub repositories into vectorized, searchable context for RAG applications. You point it at a repo and it processes the codebase into embeddings that your AI pipeline can query for relevant context. Reach for this when you're building assistants that need to understand and reference specific codebases, whether for code review automation, documentation generation, or context-aware development tools. The SSE transport means you can integrate it remotely without local setup, making it straightforward to add repository intelligence to your existing RAG infrastructure without managing the vectorization pipeline yourself.