Ep3 CrewAi F Researcher: Build Ai Financial Researcher with SerperDevTool & Web Search Integration

Description

# Build AI Financial Researcher with CrewAI | SerperDevTool & Multiple LLMs Tutorial Learn how to build a powerful AI Financial Researcher using CrewAI, SerperDevTool for web search integration, and multiple LLMs (GPT-4, Llama 3.2, DeepSeek). This comprehensive tutorial walks you through creating an automated financial research system with two AI agents working together! # What You'll Build: • Multi-agent AI system with Researcher and Analyst agents • Web search integration using SerperDevTool for real-time data • Sequential workflow with intelligent task delegation • Automated report generation with professional formatting • Support for multiple LLM providers (OpenAI, Ollama, Anthropic) 💡 What You'll Learn: ✅ Setting up CrewAI project structure ✅ Configuring agents with YAML files ✅ Integrating SerperDevTool for web search capabilities ✅ Creating task dependencies and workflows ✅ Using different LLMs (GPT-4o-mini, Llama 3.2, DeepSeek-R1) ✅ Implementing file output for research reports ✅ Running and testing your AI crew # Technologies Used: • CrewAI Framework • SerperDevTool (Web Search) • OpenAI GPT-4o-mini • Ollama (Llama 3.2, DeepSeek-R1) • Python 3.x • YAML Configuration # Project Structure: • crew.py - Agent and task definitions • main.py - Execution script • agents.yaml - Agent configurations • tasks.yaml - Task definitions • Output files (research.md, report.md) # Perfect For: • AI Developers • Financial Analysts • Data Scientists • Automation Enthusiasts • Anyone interested in Multi-Agent AI Systems # VIDEO CHAPTERS: 0:00 - Introduction & Project Overview 1:15 - CrewAI Framework Explained 2:30 - Setting Up Project Structure 3:45 - Configuring Agents (agents.yaml) 5:00 - Defining Tasks (tasks.yaml) 6:30 - Integrating SerperDevTool for Web Search 7:45 - Multiple LLM Configuration (OpenAI, Ollama, Anthropic) 9:00 - Implementing crew.py (Agents & Tasks) 10:15 - Running the Financial Researcher 11:30 - Results & Output Files Review # Resources & Links: 🔗 GitHub Repository: https://github.com/matinict/MyCrewAi/tree/main/financial_researcher 🔗 CrewAI Documentation: https://docs.crewai.com/ 🔗 SerperDevTool: https://serper.dev/ 🔗 Get SerperDev API Key: https://serper.dev/api-key # Download Code: All code files shown in this tutorial are available in the GitHub repository linked above. #Subscribe for more AI tutorials! Hit the bell icon to get notified when I upload new content about AI agents, automation, and cutting-edge technologies. # Questions? Drop them in the comments below! I respond to every question. #CrewAI #AI #MachineLearning #Python #FinancialAnalysis #WebScraping #AIAgents #Automation #OpenAI #Ollama #Tutorial #ArtificialIntelligence #DataScience #MultiAgentSystems #SerperDevTool #LLM #GPT4 #DeepSeek #Llama # Disclaimer: This tutorial is for educational purposes only. The financial research system created is not intended for making actual trading or investment decisions. Always consult with qualified financial advisors for investment advice. Related Videos: • LangChain Tutorial Series • Building AI Agents with AutoGen • Web Scraping with Python 👍 Like this video if you found it helpful! 📢 Share with anyone interested in AI and automation! © PlayOwnAi | All Rights Reserved