Voice-Powered Multimodal RAG Agent
Agentic RAG with LangGraph and NVIDIA Nemotron for voice-driven multimodal retrieval.
Engineered an agentic RAG system using LangGraph and NVIDIA Nemotron, enabling voice-driven multimodal context retrieval over text and images.
- Autonomous ReAct-based agentic loop with cross-encoder reranking for retrieval optimization.
- Integrated Llama-3.1-Nemotron-Safety-Guard for real-time PII detection and content moderation.
- Deployed on Hugging Face using NVIDIA NIM for scalable, low-latency inference.
Tech Stack
- Python, LangGraph, NVIDIA NIM, Nemotron, Hugging Face
Links
- GitHub Repository: Voice-MultiMod-RAG-Agentina