Build Agent [walkthrough] (Chatbot, RAG, Tool Use) with Google's Vertex AI-Beginner's Guide

Learn (deep-dive style) to use 'Agent Builder' in Google Cloud Platform's Vertex AI to build LLM agents that can do chatting, RAG (Retrieval Augmented Generation), and tool use. Definitely beginner friendly! ⭐️What You'll Learn: - Introduction to Vertex AI and its tools 🛠️ - How to access and enable Agent Builder on Google Cloud Platform 🌩️ - Navigating the Agent Builder interface 🎛️ - Creating and configuring agents for specific goals, like MBA course assistance 🎓 - Utilizing the RAG tool for accurate information retrieval 📊 - Integrating data stores with your agents for enhanced capabilities 🗂️ - Step-by-step guide on adding new tools and processing documents 🔄 - Testing and troubleshooting your agent for optimal performance 🧪 - Potential integrations with chat platforms like Messenger, Slack, and Discord 💬 ⛓️Connect with Us: 👍 Like | 🔗 Share | 📢 Subscribe | 💬 Comments + Questions LinkedIn: https://www.linkedin.com/company/casedonebyai YouTube: www.youtube.com/@CaseDonebyAI Facebook: https://www.facebook.com/casedonebyai TikTok: https://www.tiktok.com/@casedonebyai Github: https://www.github.com/casedone SubStack: https://casedonebyai.substack.com 🎬Quick navigation: 00:55 Accessing Agent Builder 01:27 Agent Builder's Interface 02:14 Agent Console's Interface, defining your agents, RAG, and tools 04:20 Datastore tools, getting ready for RAG, allowing you to connect documents for LLM to refer 04:55 Agentic Workflow Components in Vertex AI 06:05 Tool's Description 06:33 How to define your RAG Tool 13:00 Attach a tool to an Agent 14:10 Demo an agent with two RAG tools 18:45 Create and add the third RAG tool 21:48 Demo an agent with three RAG tools 24:45 Flow in Building RAG agents #genai #ai #llm #agent #agentic #rag #vertexai #gcp #google #gemini #casedonebyai #casedone