An Android keyboard that performs speech-to-text (STT/ASR) with OpenAI Whisper and input the recognized text; Supports English, Chinese, Japanese, etc. and even mixed languages.

A TypeScript library for building orchestrated framework-agnostic multi-agent AI systems

API Proxy | API 代理 | Прокси | وكيل | OpenAI | Nvidia-NIM | Claude

Advanced Coding AI Assistant that uses a Gradio interface to stream coding related responses. ChatRAG supports local and API inference and pulls context from GitHub Repos and local files.

An open-source AI chatbot app template built with Next.js, the Vercel AI SDK and the newly released NVIDIA NIM API Inference.

RAG demo with Langchain , Gemini and NVidia NIM Models

A toolkit to explore and build with NVIDIA NIMs

AI-powered flood intelligence system featuring h2oGPTe Agent + NVIDIA NIM integration (A2A), NAT pipeline with Nemotron 49B, and real-time flood risk assessment. Part of NVIDIA–H2O.ai AI for Good Blueprint for disaster response and monitoring.

AI office agent

Multimodal AI Chatbot

NimChat — A lightweight AI chat frontend built to work seamlessly with NVIDIA’s NIM API. Features live Markdown rendering, clean UI, and support for code blocks with syntax highlighting

A simple Streamlit-based chatbot application that allows users to interact with their documents using a Retrieval-Augmented Generation (RAG) pipeline.

using NvidiaNim to chat with pdf document

Voice-first multimodal RAG agent built with Streamlit, LangChain, NVIDIA NIM (Llama 3, Granite, Phi-3 Vision) and Whisper for code, vision, and speech copiloting.

Autonomous Model Deployment Orchestrator with Agentic AI - Deploy ML models to AWS SageMaker using natural language commands with NVIDIA NIMs, multi-agent system, and safety-first architecture

AI co-creator that supports every step — from idea inception to technical design.

"A document Q&A application powered by NVIDIA NIM and LangChain, focused on Sri Lanka's Budget Speech 2025

An end-to-end RAG chatbot that retrieves information from your documents and generates accurate, context-aware answers using NVIDIA NIM and Gemma-3n-e4b-it. Features include multi-file upload, FAISS in-memory vector store, chat history, hallucination prevention rules, and support for PDF, DOCX, TXT, and CSV files — all wrapped in a fast Streamlit i

Integracion LLamaIndex with NVIDIA NIM