🚀 Build Your Own AI Research Assistant with #CrewAI and #Streamlit 🚀
In this step-by-step tutorial, learn how to create a powerful AI Research Assistant that leverages multiple Language Models--LLMs-- to conduct comprehensive research on any topic.
🔥 What You'll Learn:
• How to build a modern Streamlit web application
• Integrating multiple LLM providers -- #OpenAI, #GROQ, #Ollama
• Using CrewAI for advanced AI agent capabilities
• Implementing real-time research progress tracking
• Adding web search capabilities with #Exa
• Creating a professional user interface
🛠️ Technologies Used:
• #Python
• CrewAI
• Streamlit
• OpenAI/GROQ/Ollama
• Exa.ai Answer API
📚 Prerequisites:
• Basic Python knowledge
• Python 3.10 or less than 3.13
• API keys for your chosen LLM provider
• Basic understanding of APIs
🔗 Resources:
GitHub Repository: https://github.com/tonykipkemboi/crewai-streamlit-demo
CrewAI Docs: https://docs.crewai.com
Streamlit Docs: https://docs.streamlit.io
Exa AI docs: https://docs.exa.ai/reference/getting-started
⏱️ Timeline:
00:00 - Introduction
00:21 - Project Overview
02:33 - Code Walkthrough
16:10 - Running Streamlit UI on Localhost
19:40 - Conclusion
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#AITutorial #Python #CrewAI #Streamlit #AIAgent #Programming #CodingTutorial #AI #MachineLearning