Qwen 3.6 + GitHub Copilot CLI Built This FULL RAG App 🤯 | Hybrid Search RAG @KGPTalkie
Qwen 3.6 + GitHub Copilot CLI Built This FULL RAG App 🤯 | Hybrid Search RAG  @KGPTalkie
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

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LIVE: Build Local Agentic RAG with Qwen 3.6 + Ollama + GitHub Copilot CLI (Hybrid Search)
youtube.com/live/gFPrIjujwUs
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Can a small local AI model build a complete production-style RAG application?

In this video, I tested Qwen 3.6 with GitHub Copilot CLI and Ollama to vibe code a full Agentic RAG system completely on my local machine.

And honestly... the results were shocking.

The AI generated:

Full backend code
FastAPI server
OpenAI Compatible API endpoints
LangChain agents
File upload pipeline
Docker setup
Open WebUI integration
Postman testing workflow
Config files
Project planning files

I manually coded almost nothing.

This shows how powerful Qwen 3.6 has become for local AI development and coding workflows.

If you want to build:

Local AI apps
RAG systems
AI agents
Coding assistants
OpenAI compatible APIs
Financial data AI tools

Then this video is for you.

Watch till end to see why Qwen 3.6 + Copilot CLI feels like a coding beast.

Full Live Coding Video Link in Description.

#Qwen36 #Ollama #GitHubCopilot #RAG #AIcoding #LocalLLM #LangChain #FastAPI #AIAgent #VibeCoding

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🚀 Agentic RAG with LangChain & LangGraph
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🧠 LangGraph with Ollama
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⚡ Ollama and LangChain
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Qwen 3.6 + GitHub Copilot CLI Built This FULL RAG App 🤯 | Hybrid Search RAG

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