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Retrieval-Augmented Generation (RAG)

Thanks to RAG, you can work with AI on closed data sets. You control your data, and you don’t violate confidentiality or privacy.

What is RAG and when to use it?

We use RAG when we want to control the data that AI is working on. We use generative AI, but we limit its access only to selected files. Simultaneously, we don’t let these files be transferred further — to third parties without our knowledge and control. What else can RAG do? RAG is primarily a technology that combines artificial intelligence with traditional information retrieval systems (like databases). The application of RAG is extensive, starting with advanced search engines, company knowledge assistants, and e-learning assistants and ending with sales, finance, and production assistants. In short, it can be used in all departments and for every process.

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Assistant
Smart Custom
Full Custom

RAG

AI Development. What We Offer

From standard solutions supporting the work of marketing and sales departments, finance department, and customer support department to completely tailor-made solutions. We don’t only develop; we advise and deploy.

Assistant

We deploy chatbots using closed data sets for the client's organization. These data sets can be divided according to department or permissions in line with the class of information confidentiality.

Smart Custom

We combine our standard RAG stack with the individual client needs in terms of both business and deployment requirements.

Full Custom

Tailor-made RAG. We collect and analyze requirements, match technologies to the requirements, and deliver the ready solution.

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Whether you want to create a new product or improve an existing one, we will respond to your needs!

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