Uploaded June 2025 | Updated September 2026, 3 weeks ago
🚀 Access ALL video resources & get personalized help in my community:
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 ☕ : buymeacoffee.com/leonvanzyl
PayPal Donation: paypal.com/ncp/payment/EKRQ8QSGV6CWW
📑 Useful Links:
Sign up for Flowise Cloud: cloud.flowiseai.com/register?via=leonvanzyl
Flowise v3 Playlist: 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
🚀 Access ALL video resources & get personalized help in my community:
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 ☕ : buymeacoffee.com/leonvanzyl
PayPal Donation: paypal.com/ncp/payment/EKRQ8QSGV6CWW
📑 Useful Links:
Sign up for Flowise Cloud: cloud.flowiseai.com/register?via=leonvanzyl
Flowise v3 Playlist: 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
