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I built a Deepseek R1 RAG Reasoning Agent running locally on my computer. It's an Agentic RAG reasoning agent that can think, reason and fall back to web search if needed. 100% Opensource code with step-by-step tutorial.
124,490 views • 1 year ago •via X (Twitter)
12 Comments

I've created a detailed tutorial that walks you through every step. Two simple steps to get started: 1. Star the repo: 2. Subscribe to Unwind AI (for free): New AI Agents and RAG tutorials added every week.

Step-by-step tutorial code tutorial: It uses @ollama for local DeepSeek model, @qdrant_engine as the vector database, @AgnoAgi for agent orchestration and @ExaAILabs for web search capabilities.

Find all the awesome LLM Apps with AI Agents and RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support 🌟

50+ step-by-step AI Agents and RAG tutorials to build real-world AI applications (100% Free with Opensource code). P.S: Don't forget to subscribe for FREE to access future tutorials.

If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLM tips and AI Agent, RAG tutorials.

AI-first pull request reviewer with context-aware feedback, line-by-line code suggestions, and real-time chat.

This is crazy good!

Thank you!

Amazing. Thanks for sharing!

You're welcome!

Great, I was waiting for this one to drop.. 👐

Haha, thank you!
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