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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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## 🔥 Agentic RAG with EmbeddingGemma
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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-agentic-rag-app-with-google-embeddinggemma) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**
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This Streamlit app demonstrates an agentic Retrieval-Augmented Generation (RAG) Agent using Google's EmbeddingGemma for embeddings and Llama 3.2 as the language model, all running locally via Ollama.
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### Features
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