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

In this video, we dive into the essentials of creating a Q&A chatbot. Here’s a quick overview of the process:

1. Embedding Creation: Learn how to use NVIDIA NIM microservices to transform your text into high-quality embeddings.

2. Vector Database: Explore the power of GPU-accelerated Milvus for efficient storage and retrieval of your embeddings.

3. Inference with Llama3: Find out how to leverage the NIM API’s Llama 3 model to handle user queries and generate accurate responses.

4. Orchestration with LlamaIndex: See how to integrate and manage all components seamlessly with LlamaIndex for a smooth Q&A experience.

📗 Learn more today with this notebook: https://github.com/NVIDIA/GenerativeAIExamples/blob/main/community/llm_video_series/video_1_llamaindex_basic_RAG.ipynb

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LlamaIndex, NVIDIA NIM, Code Review, Milvus, LLM Assistant

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