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chore: enhance README files across multiple agent applications by adding links to free step-by-step tutorials, providing users with comprehensive guidance on building each agent from scratch.
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## 🦙 Local RAG Agent with Llama 3.2
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### 🎓 FREE Step-by-Step Tutorial
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**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-local-rag-agent) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**
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This application implements a Retrieval-Augmented Generation (RAG) system using Llama 3.2 via Ollama, with Qdrant as the vector database. Built with Agno v2.0.
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