Uploaded April 2026 | Updated September 2026, 2 weeks ago

---

🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.

📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1

----------

**Advanced RAG Udemy Course @: 399INR/$9.99**
kgptalkie.com/advanced-rag

In this LIVE coding session, we build a fully local Agentic RAG system using Qwen 3.6, Ollama, and GitHub Copilot CLI.

You’ll learn how to create AI applications using natural language vibe coding, where the model writes the code for you locally.

What we cover in this video:

Build Local RAG System from scratch
Hybrid Search (BM25 + Vector Search)
Agentic RAG Architecture
Financial Data Use Case Demo
GitHub Copilot CLI Coding Workflow
Qwen 3.6 Coding Power Test
Ollama Local LLM Setup
OpenAI Compatible API Endpoints
Containerized Deployment using Docker
Testing APIs with Postman
Open WebUI Integration
100% Local AI Workflow (No ChatGPT / Claude Needed)

If you want to learn local LLM development, AI agents, RAG systems, and real-world AI projects, this session is for you.

#Qwen36 #Ollama #RAG #AIagents #GitHubCopilot #LocalLLM #VibeCoding #OpenAIAPI