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.

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

[rishivyas]

But where do we get the requirement.txt file??

[waeiouo]

works nicely the sample notebook, gracias

[SixTimesNine]

Notebook link is broken. Perhaps on a diff branch?

[MutairuOnaido]

Do i need an NVIDIA credit to reference the NIM API?

[girishganesan]

Where do we find the code for this specific example?