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I Built a RAG System That Listens to Live BBC News and Answers Questions About "What Happened 10 Minutes Ago"
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Rakshit Aralimatti
RakshitAralimatti
AI & ML interests
Nvidia
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I built a crazy ultra–low latency voice assistant agent using Pipecat, NVIDIA Riva, NVIDIA NIM, and an MCP‑powered tool stack. It can talk in real time, search the web, and manage your project directory files, document your code and docs hands‑free (create, read, summarise, and clean up).
Link - https://github.com/rakshit2020/Voice-Agent-using-Nvidia-Riva-NIM-Pipecat
I put everything into a small demo repo with the full architecture diagram and a short demo video so you can see exactly how it works and adapt it to your own projects.
Check out the GitHub, play with the agent, and let me know if it’s useful or if you want a breakdown of any part of the setup.
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How We Built a Semantic Highlight Model To Save Token Cost for RAG
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How We Built a Semantic Highlight Model To Save Token Cost for RAG
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