STOP Building Dumb AI Agents – Do This Instead

🚀 Access ALL video resources & get personalized help in my community: https://www.skool.com/agentic-labs/about?ref=3fd61190e13d426dbf4f3b38adc7de69 Learn how to supercharge your AI agents in Flowise using Retrieval Augmented Generation (RAG). In this tutorial, we explore multiple ways to enhance your agent's ability to answer questions by integrating external tools like the SERP API for live Google searches and custom knowledge bases using document stores. Whether you're building chatbots or internal AI tools, this no-code walkthrough will help you build smarter, context-aware agents that actually understand and respond with relevant information. Perfect for beginners and Flowise v3 users looking to level up their AI workflows. 🙏 Support My Channel: Buy me a coffee ☕ : https://www.buymeacoffee.com/leonvanzyl PayPal Donation: https://www.paypal.com/ncp/payment/EKRQ8QSGV6CWW 📑 Useful Links: Sign up for Flowise Cloud: https://cloud.flowiseai.com/register?via=leonvanzyl Flowise v3 Playlist: https://www.youtube.com/playlist?list=PL4HikwTaYE0FFKifDJcgnP23LjGAZjzL8 🕒 TIMESTAMPS 00:00 - Intro 00:02 - Overview of AI Agent from Previous Video 00:35 - Assigning Tools to the Agent 01:14 - Uploading Documents and Images 02:24 - Asking the Agent Questions 03:03 - Customizing the Prompt 04:03 - Adding System Prompt Context 05:09 - Troubleshooting Context Awareness 06:02 - Providing Context Dynamically 07:33 - Agent Performing a Google Search 08:37 - Using the SERP API Tool 09:32 - Context-Based Responses from Agent 10:44 - Uploading a PDF Document 11:35 - Large Document Limitations 12:32 - Retrieving Relevant Documents 13:32 - Uploading Chunks to Vector Store 14:42 - Naming the Knowledge Base 16:02 - Connecting the Document Store 17:00 - Using Agent Flows 18:09 - Setting Up Document Store Tool 19:39 - Defining the Knowledge Base 20:32 - Enabling File Uploads 21:36 - Allowing Image Uploads 22:00 - Wrapping Up #flowise #aiagents #retrievalaugmentedgeneration