Source code (GitHub repository) and complete AI Bootcamp are available for MLExpert Pro subscribers: https://www.mlexpert.io/
Learn how to build a local AI agent (workflow) that analyzes Reddit posts using LangGraph (functional API), Pydantic and UI with Streamlit. You'll learn to integrate human-in-the-loop and build custom tools for your agents - all running locally on your machine.
Building effective agents post: https://www.anthropic.com/research/building-effective-agents
Ollama models:
- https://ollama.com/library/deepseek-r1
- https://ollama.com/library/qwen2.5
AI Bootcamp: https://www.mlexpert.io/
LinkedIn: https://www.linkedin.com/in/venelin-valkov/
Follow me on X: https://twitter.com/venelin_valkov
Discord: https://discord.gg/UaNPxVD6tv
Subscribe: http://bit.ly/venelin-subscribe
GitHub repository: https://github.com/curiousily/AI-Bootcamp
👍 Don't Forget to Like, Comment, and Subscribe for More Tutorials!
00:00 - Demo
00:17 - Welcome
01:10 - Source code for MLExpert Pro subscribers
01:47 - Building effective agents
03:58 - Architecture of our agentic workflow
05:34 - Fetching Reddit posts and comments
07:11 - Project setup, dependencies, config
10:35 - Creating LLM (Ollama, Groq API) and embedding models
11:28 - Domain data classes (Post, Comment, Report)
13:32 - LangGraph workflow
17:54 - Agents (post fetcher, post filter, human-in-the-loop)
22:35 - Custom tool (search/filter documents)
28:14 - Post-analyzer/summarizer agent
30:37 - Report writer agent
32:45 - Streamlit UI
36:49 - Test the app (Analyze r/singularity posts)
39:03 - Agent logs
39:31 - Conclusion
Join this channel to get access to the perks and support my work:
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#deepseek #aiagents #langgraph #llm #rag #langchain #chatgpt #chatbot #python #streamlit #artificialintelligence