In the world of artificial intelligence, Retrieval Augmented Generation (RAG) is emerging as a revolutionary technique that improves how we retrieve and generate information. To better understand this technology, we spoke with Javier Padrón, Head of Architecture at CleverIT.

In this interview, Javier explains in detail what RAG is, how it works, its benefits, practical applications, and how CleverIT is leveraging this technology to optimize processes and provide innovative solutions to its clients.

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What is RAG and how does it work?

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J: Retrieval Augmented Generation (RAG) is an AI technique that combines information retrieval with text generation to answer questions or generate content. It uses document-based data to retrieve relevant information and then employs a language model to generate accurate and detailed responses based on that information.

In what cases can it be applied?

‍J: RAG is especially useful in situations where precision and information richness are crucial, such as customer service, medical assistance, legal and academic research, and financial analysis.

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Tell us three benefits everyone should know about RAG:

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J: Three key benefits that everyone should know are:

1. Improved Accuracy: By combining data retrieval and text generation, RAG provides more precise answers based on verified information.
2. Scalability: It can handle a wide range of queries by adjusting computational resources as needed.
3. Continuous Updates: By integrating with unstructured files, these can be updated at any time, allowing the solution to generate responses with more recent data
   

An interesting fact about RAG:

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J: An interesting fact is that when you add text files to ChatGPT and the solution can remember data from them or answer specific questions about them, you’re using the RAG technique.
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How can I determine if RAG is suitable for my company?

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J: If your company wants to automate tasks based on text documents with large volumes of queries or data requiring detailed and accurate responses, RAG is ideal. It is particularly useful where the quality of information directly impacts decision-making and customer satisfaction.

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How does CleverIT work with this technology?

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J: In internal projects like Groowcity, we have utilized these AI techniques for task improvement and automation. We also have experience with various cloud platforms, especially Azure, to optimize information and response processes, integrating customized solutions with clients’ existing systems to enhance efficiency and accuracy in services like technical support, knowledge management, and personalized assistance.

In conclusion, RAG represents a powerful tool for companies looking to improve accuracy and efficiency in information management and content generation. With the expertise of specialists like CleverIT, implementing RAG can transform how organizations handle their data and deliver services to their clients.

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