Building Local AI Agents with DeepSeek-R1, Ollama, Pydantic and LangGraph for Reddit Analysis

Building Local AI Agents with DeepSeek-R1, Ollama, Pydantic and LangGraph for Reddit Analysis

Venelin Valkov via YouTube Direct link

17:54 - Agents post fetcher, post filter, human-in-the-loop

11 of 18

11 of 18

17:54 - Agents post fetcher, post filter, human-in-the-loop

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Building Local AI Agents with DeepSeek-R1, Ollama, Pydantic and LangGraph for Reddit Analysis

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  1. 1 00:00 - Demo
  2. 2 00:17 - Welcome
  3. 3 01:10 - Source code for MLExpert Pro subscribers
  4. 4 01:47 - Building effective agents
  5. 5 03:58 - Architecture of our agentic workflow
  6. 6 05:34 - Fetching Reddit posts and comments
  7. 7 07:11 - Project setup, dependencies, config
  8. 8 10:35 - Creating LLM Ollama, Groq API and embedding models
  9. 9 11:28 - Domain data classes Post, Comment, Report
  10. 10 13:32 - LangGraph workflow
  11. 11 17:54 - Agents post fetcher, post filter, human-in-the-loop
  12. 12 22:35 - Custom tool search/filter documents
  13. 13 28:14 - Post-analyzer/summarizer agent
  14. 14 30:37 - Report writer agent
  15. 15 32:45 - Streamlit UI
  16. 16 36:49 - Test the app Analyze r/singularity posts
  17. 17 39:03 - Agent logs
  18. 18 39:31 - Conclusion

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