Retrieval Augmented Generation (RAG)
LLMs are sometimes not enough to understand a specific business context. They need to be adapted to up-to-date, contextualized data. Nexa Forwardoffers the ability to enrich a model with your up-to-date data, and your knowledge ontology. Augmented Generation retrieval ensures you have the most effective, up-to-date model for all your uses (chatbot, business insight, automation...).
In the field of Knowledge Management (GED), our algorithm provides a powerful solution for organizing, indexing, and extracting crucial information from vast datasets. Facilitating intelligent document management, it enables faster searches and targeted information retrieval. In the FMCG product categorization domain, our algorithm excels in automatically structuring substantial volumes of data.
![](https://cdn.prod.website-files.com/6572f7448e5f533c794418c4/65958c63acc339fd992274a6_RAG-H465.png)
Retrieval Augmented Generation (RAG)
LLMs are sometimes not enough to understand a specific business context. They need to be adapted to up-to-date, contextualized data.Factonics offers the ability to enrich a model with your up-to-date data, and your knowledge ontology. Augmented Generation retrieval ensures you have the most effective, up-to-date model for all your uses (chatbot, business insight, automation...).
In the field of Knowledge Management (GED), our algorithm provides a powerful solution for organizing, indexing, and extracting crucial information from vast datasets. Facilitating intelligent document management, it enables faster searches and targeted information retrieval. In the FMCG product categorization domain, our algorithm excels in automatically structuring substantial volumes of data.