What is RAG?
In short, RAG is a system that, when given a question or command, searches its data for the best available information and creates a clear and useful response.
Model Integration (LLMs)
It facilitates the connection between large AI models and external data sources in an agile and efficient way.
Information Recovery with RAG
Rapid search and retrieval of relevant data, combining text generation with contextual information.
Acceleration in data science
Advanced data extraction techniques, enabling more complex situations.
Scalability and Performance Optimization
Support for large volumes of data and high demand, ensuring that it works efficiently at different scales.
Unparalleled speed. Impeccable reliability.
​Our framework is a high-performance, conversational artificial intelligence solution designed to optimize the integration of large volumes of data in real time. Using our proprietary RAG (Retrieval-Augmented Generation) technology, the framework combines efficient retrieval of information from multiple sources with the generation of contextual and accurate responses. Its scalability allows us to manage large amounts of data without compromising the quality or accuracy of the responses.
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When we talk about our enterprise plans, the focus is on security and reliability. We implement our proprietary technology directly into companies' systems, which allows our clients to process the largest amount of data on the market without the need to share it with third parties. Ensuring that companies have full control over their AI operations, generating value at every step of the process.