Module 1 of LLM Zoomcamp is done! 🎉 I turned my original RAG pipeline into an Agent!I spent these last few days diving deep into Agentic RAG. It's been fascinating to build it step by step. Every time I ask the LLM to learn about something new, I see how it naturally figures out which tools to use, when to search, and how many times to gather info before giving me a solid answer.What exactly is Agentic RAG?It’s like giving the AI a brain that can actually act. Instead of just retrieving from a fixed knowledge base, the model decides whether it needs external tools first, gathers what it needs, and then answers. It’s pretty interesting to understand how it actually works behind the scenes!Why does this matter? A few days ago I asked for a detailed guide on using the OpenAI Python library with the chat.completion API. The Local LLM called web search multiple times until it had enough context and built something useful from those pieces. Now that I am building these systems, I can finally...
Module 1 of LLM Zoomcamp is done! 🎉 I turned my original RAG pipeline into an Agent!I spent these last few days diving d...
