vaibhavjain1702/RAG-Creation

This is a fresh coursework project (2 days old, 0 stars/forks) with no user adoption or public visibility. The README describes standard RAG pipeline components (document processing → embeddings → retrieval → LLM generation → evaluation) using commodity libraries. The LaTeX processing angle is slightly specialized but not novel—LaTeX parsing is a well-solved problem, and applying it to RAG is a straightforward application of existing patterns. No evidence of novel architectural insight, novel evaluation approach, or domain breakthrough. This is exactly the type of educational implementation that frontier labs (OpenAI with GPT, Anthropic with Claude, Google with Gemini) have already solved as core platform features. The project has zero composability signals—no API, no package, no downstream integrations possible at this stage. It is implementation-depth prototype at best, likely a homework submission or coursework artifact. The high frontier risk reflects that RAG is table-stakes for modern LLM platforms; a frontier lab could trivially add LaTeX handling as a preprocessing feature to their existing retrieval infrastructure.