Insights on AI, knowledge management, and enterprise productivity.
A RAG agent is only as current as its last index. Through our partnership with fyrn.ai, Buildgrid agents can now read from and write to live business systems — turning the conversational layer into an informed colleague with access to the systems that run the business.
After building and scaling NordSafety into an international software company, the three of us are building together again. Meet Buildgrid.ai.
Extending customer service with AI – available around the clock. Suomen Asbestipurku Oy wanted to serve website visitors also outside regular office hours.
One of the great opportunities now days is to fine tune your onlines sales to work for you all the time. Studies says that buyers are doing most of the heavy lifting online.
Learn how Buildgrid enables cross-language AI assistants — upload content in one language and query it in another, with support for 96 languages.
Understand how retrieval-augmented generation works, why it matters for enterprise AI, and how Buildgrid uses RAG to deliver accurate answers from your data.
A step-by-step guide to setting up Buildgrid and connecting your enterprise knowledge sources with generative AI.
We are thrilled to announce a significant update to our platform that will revolutionise the way you manage your knowledge bases for Retrieval Augmented Generation (RAG) models.
Datadrivers Oy is a well established software company in European traffic safety. It’s been at the forefront since the beginning of the digitalisation phase for driver training.
One of the hot topics with Generative AI is how-to implement it in your organisation. Where and how to use it.
In today’s fast-paced business environment, businesses are constantly seeking innovative solutions to improve their operations and stay ahead of the competition.
In today’s global markets, businesses face the challenge of providing effective customer support across the globe. The integration of AI technologies offers a transformative solution.
There are many companies with vast amount of images that are either include poorly or not at all metadata.
The basic use-case for RAG (retrieval augmented generation) is to upload data, convert to embeddings and provide large language models the right context.
Have you ever heard the term ‘talk-with-your-data’? It’s a concept built upon the Retrieval Augmented Generation (RAG) framework.