<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/a7caaffbc3234acfb93a7e0093ff579b&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a7caaffbc3234acfb93a7e0093ff579b-c35b8d9a7747bd82.gif</thumbnail_url><duration>80.758</duration><title>NesterConversationalBot Demo</title><description>This demo showcases NesterConversationalBot, NesterLabs’ open-source, ultra–low-latency voice assistant that fuses Speech-to-Text (Deepgram), Retrieval-Augmented Generation (RAG), LLM function calling (Google / OpenAI), and Text-to-Speech (ElevenLabs). You’ll see real-time audio streaming over WebSockets, Hinglish support, live latency metrics, and how tools (like a RAG retriever) are invoked intelligently to keep the system both fast and factual.</description></oembed>