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CSIC has its own AI

  • Writer: Adrià Antich
    Adrià Antich
  • Jul 30
  • 1 min read

Recently, I attended the Escuela de Verano del CSIC, where I discovered that the Spanish National Research Council (CSIC) provides its own Artificial Intelligence platform, including API access for researchers and developers. This was a great opportunity to explore how these tools can be integrated into real-world AI applications.

To learn more about the platform and experiment with its capabilities, I created a GitHub repository that demonstrates how to build a simple Retrieval-Augmented Generation (RAG) system using the CSIC AI API. A RAG architecture combines information retrieval with generative AI, allowing language models to answer questions based on custom documents and knowledge sources rather than relying only on their pre-trained knowledge.

The goal of this project is to provide a practical and easy-to-follow example for anyone interested in working with the CSIC AI ecosystem. The repository includes the installation process, configuration steps, and a complete example showing how to connect documents to a language model and query them efficiently.

To make the project more accessible, I also prepared three short YouTube tutorials that explain the entire process step by step in less than three minutes.

This project allowed me to explore modern AI development practices while gaining hands-on experience with the CSIC AI infrastructure. If you are interested in Retrieval-Augmented Generation, AI APIs, or practical applications of large language models, feel free to check out the repository and the accompanying video tutorials.


 
 
 

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Center for Advanced Studies of Blanes

(CEAB-CSIC)


Dept. of Marine Ecology
Dept. of Continental Ecology

Accés a Cala Sant Francesc 14,

17300, Blanes (Girona, Spain)

+34 972 336101 ext:430906

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