This is exactly what we have had working in Langroid since at least a year, so I don't quite get the buzz around this. Langroid's `DocChatAgent` produces granul

This is exactly what we have had working in Langroid since at least a year, so I don't quite get the buzz around this. Langroid's `DocChatAgent` produces granular markdown-style citations, and works with practically any (good enough) LLM. E.g. try running this example script on the DeepSeek R1 paper: https://github.com/langroid/langroid/blob/main/examples/docqa/chat.py https://github.com/langroid/langroid/blob/main/examples/docq... uv run examples/docqa/chat.py https://arxiv.org/pdf/2501.12948 Sample output here: https://gist.github.com/pchalasani/0e2e54cbc3586aba60046b6212d12ad4 https://gist.github.com/pchalasani/0e2e54cbc3586aba60046b621... https://gist.github.com/pchalasani/0e2e54cbc3586aba60046b6212d12ad4 https://gist.github.com/pchalasani/0e2e54cbc3586aba60046b621...