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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -392,6 +392,7 @@ Please review our [CONTRIBUTING.md](./CONTRIBUTING.md) before submitting a PR
### T8 · RAG

- 📘 💰 [**Building LLM Apps**](https://www.wiley.com/en-us/Building+LLM+Apps%3A+Create+Intelligent+Apps+and+Agents+with+Large+Language+Models-p-9781394250202) — Valentina Alto (Wiley, 2024). RAG-heavy application text.
- 📘 💰 [**RAG Made Simple**](https://diamant-ai.com/rag-made-simple) - Nir Diamant (2025). A visual, code-free walkthrough of 22 retrieval-augmented generation techniques explained through diagrams and analogies.
- 📘 🆓 [**RAG-Driven Generative AI**](https://www.packtpub.com/en-us/product/rag-driven-generative-ai-9781836200918) — Denis Rothman (Packt, 2024).

### T10 · Tool Use & MCP
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- 📰 🆓 [**Machine Learning Engineer Newsletter**](https://ethical.institute/mle.html) — Alejandro Saucedo. Weekly production-ML curation.
- 📰 🆓 [**MLOps Community newsletter**](https://mlops.community/) — MLOps Community.
- 📰 🆓 [**The Data Exchange**](https://thedataexchange.media/) — Ben Lorica.
- 📰 🆓 [**DiamantAI**](https://diamantai.substack.com) - Nir Diamant. Practical AI engineering and generative AI: RAG, agents, and LLM application patterns explained simply.

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