Building LLM Assistants with LlamaIndex, NVIDIA NIM, and Milvus - LLM App Development

Dive into the essentials of creating a Q&A chatbot in this 12-minute video from Nvidia. Explore the process of building LLM assistants using LlamaIndex, NVIDIA NIM, and Milvus. Learn how to create high-quality embeddings with NVIDIA NIM microservices, utilize GPU-accelerated Milvus for efficient vector storage and retrieval, leverage the NIM API's Llama3 model for accurate query handling and response generation, and seamlessly integrate all components using LlamaIndex. Gain practical insights into LLM app development and discover how to orchestrate a smooth Q&A experience. Access the accompanying notebook for hands-on learning and join the NVIDIA Developer Program for additional resources. Stay updated with the latest developments by subscribing to the NVIDIA Technical Blog.

Building LLM Assistants with LlamaIndex, NVIDIA NIM, and Milvus | LLM App Development