initial commit: slides ready + upgraded
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# Recursos adicionales
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<v-clicks>
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### Documentación oficial
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- [LangChain RAG Tutorial](https://docs.langchain.com/oss/javascript/tutorials/rag)
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- [Qdrant LangChain Integration](https://qdrant.tech/documentation/frameworks/langchain/)
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- [OpenAI Embeddings Guide](https://platform.openai.com/docs/guides/embeddings)
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### Herramientas útiles
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- [Qdrant Cloud](https://qdrant.tech) - BD vectorial gestionada
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- [LangSmith](https://smith.langchain.com) - Debugging y evaluación
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- [Embedding comparisons](https://huggingface.co/spaces/mteb/leaderboard) - MTEB Leaderboard
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### Alternativas a explorar
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- **LlamaIndex**: Framework especializado en RAG
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- **Haystack**: Pipeline flexible para búsqueda
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- **txtai**: Búsqueda semántica ligera
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</v-clicks>
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