<ul><li>This article explores how to create AI agents for web search, financial analysis, reasoning, and retrieval-augmented generation using phidata and the Ollama local LLM.</li><li>The article covers the installation process of UV and the creation of a project folder.</li><li>The web search agent is created using DuckDuckGo search engine.</li><li>The finance agent is created using YFinance tools for stock price, analyst recommendations, company info, and company news.</li><li>The agent team integrates the agents created in the previous steps for web search and finance.</li><li>The inference agent is designed to perform reasoning using a given task.</li><li>The RAG agent is created to use a PDF knowledge base and a LanceDB vector db.</li></ul>

Building 5 AI Agents with phidata and Ollama

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