anshul4uhh/multi-intent-rag-chatbot

The project is a standard implementation of a multi-intent RAG pipeline, a common pattern in the LLM application layer. With zero stars and forks, and only 20 days of age, it currently exists as a personal experiment or a specific solution for a single entity (Wattmonk). There is no technical moat; the architecture follows documented patterns found in LangChain or LlamaIndex tutorials. Frontier labs like OpenAI and Anthropic are rapidly making this specific functionality (routing + RAG) a native feature of their platforms (e.g., OpenAI Assistants API, Claude Projects), which poses a high risk of obsolescence. Any specialized value lies in the data (NEC codes), but since those are public standards, the project lacks data gravity. Competitors include enterprise RAG platforms like Glean or even basic 'Chat with your PDF' wrappers that now support multi-file routing.