Sept. 13, 2023, 2 p.m. | James Briggs

James Briggs www.youtube.com

In this video we learn how to make Retrieval Augmented Generation (RAG) super fast for chatbots, Large Language Models (LLMs), or agents. We focus on how to design RAG / agent-powered conversational agents that use NVIDIA's NeMo Guardrails for decision-making on tool usage.

📌 Code:
https://github.com/pinecone-io/examples/blob/master/learn/generation/chatbots/nemo-guardrails/03-rag-with-actions.ipynb

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00:00 Making RAG Faster
00:20 Different Types of RAG
01:03 Naive Retrieval Augmented Generation
02:22 …

agents articles chatbots code conversational conversational agents decision design focus guardrails language language models large language large language models learn llms making nemo nemo guardrails nvidia rag retrieval retrieval augmented generation tool usage video videos

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