Create an AI Agent that Searches Google (n8n and Crawl4AI + Free Template)
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Description
In this video, we will create an AI agent that can access the internet to search for information dynamically and respond to queries. This low-code solution involves building a web scraper that utilizes Craw for AI, an open-source LLM-friendly web crawler and scraper. We will cover how to implement this tool, connect it with a vector database for enhanced memory capabilities, and ensure efficient scraping and querying of data.
Key Features
• Complete low-code solution for web scraping.
• Use of a vector database to store and retrieve information effectively.
• Integrating AI prompts with dynamic content querying.
• Detailed guide on building, testing, and optimizing an AI agent.
Courses & Certificates
To continually upskill without the hassle of scrolling through YouTube, when wanting structured learning for Data and AI, I use DataCamp. Specifically, Premium - which gives you unlimited learning across all tracks with certificates at the end. Here are the courses I recommend.
👇 Check them out for free 👇
Artificial Intelligence
🤖 AI Fundamentals 👉 https://datacamp.pxf.io/vPZqkv
🏅 AI Leadership 👉 https://datacamp.pxf.io/Vx63kO
📊 AI Business Fundamentals 👉 https://datacamp.pxf.io/YRy3PP
🕹️ ChatGPT Fundamentals 👉 https://datacamp.pxf.io/MAN3zq
💬 OpenAI Fundamentals 👉 https://datacamp.pxf.io/aOWQoR
AI Engineering
🧑💻 AI Engineer Career Track 👉 https://datacamp.pxf.io/zx29Gr
⚙️ Machine Learning Engineer Career Track 👉 https://datacamp.pxf.io/nX2JxA
👾 Developing AI Applications 👉 https://datacamp.pxf.io/dO7jgj
🧠 Deep Learning in Python 👉 https://datacamp.pxf.io/Qj63Lo
🗣️ Developing Large Language Models 👉 https://datacamp.pxf.io/PO6NEe
🦜 Developing Applications with LangChain 👉 https://datacamp.pxf.io/Bn2o3y
Data Engineer
🌍 Understanding Data Engineering 👉 https://datacamp.pxf.io/JKq0ZE
🏅 Database Design 👉 https://datacamp.pxf.io/Xm1AEg
📊 Data Warehousing Concepts 👉 https://datacamp.pxf.io/WyYaPX
⚡ Introduction to dbt 👉 https://datacamp.pxf.io/09Y7BJ
🕹️ Introduction to Apache Airflow in Python 👉 https://datacamp.pxf.io/nXn3eX
📈 Introduction to NoSQL 👉 https://datacamp.pxf.io/6yG9RG
Cloud Engineer
🌤️ Understanding Cloud Computing 👉 https://datacamp.pxf.io/LKDqYY
1️⃣ Understanding Microsoft Azure 👉 https://datacamp.pxf.io/mOn3k1
2️⃣ AWS Concepts 👉 https://datacamp.pxf.io/7abrBQ
📊 Microsoft Azure Architecture and Services 👉 https://datacamp.pxf.io/MAQxYo
⚙️ Microsoft Azure Management and Governance 👉 https://datacamp.pxf.io/YRdGkj
🧩 AWS Cloud Technology and Services Concepts 👉 https://datacamp.pxf.io/4GdDBo
Social Media
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Timestamps
0:00 Introduction to AI Agents & Web Scraping
1:11 Understanding HTTP Requests
5:06 The Importance of Tokens & Memory
13:53 Setting up the N8N Workflow & AI Chat Model
23:23 Adding Tools: Web Scraper and Vector DB
34:48 Integrating a Vector Database (Superbase)
24:40 Setting up Web Scraping with Python Code & Crawl for AI
40:59 Text Splitting & Embeddings for Vector Storage
46:56 Troubleshooting and Debugging the Workflow
57:44 Demonstration & Final Thoughts
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