Build ENTERPRISE-READY AI Agent for Research and Reporting!
AI Summary
The video explains how to build an AI agent that automates research and report generation by searching relevant information across private enterprise files and internet sources, then summarizing and preparing a report. The workflow involves querying a vector database with enterprise data embeddings for relevant info, combined with web searches if needed, and generating a report using a large language model (Llama 3.3). The presenter demonstrates deployment steps including using GitHub code and a cloud platform for easy setup. The AI agent workflow includes ingesting company data as embeddings, storing in a vector database, then pulling relevant context to generate precise research reports. This is especially suited for enterprise use cases that require privacy and deep research capabilities. The video also shows how to generate API keys and run notebooks to deploy components, use Turi web search optionally, and save research outputs. It’s a step-by-step guide to creating an efficient AI research assistant using NVIDIA technology.