Whether data has been certified for the purpose it now serves must be addressed at the same architectural level as the ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

The AI initiatives that are stalling right now are failing because of what sits beneath the AI, and that's a problem leaders ...

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries ...

Abstract: The integration of semantic technologies and geospatial information, especially when introducing information from Earth Observation satellites, is significantly transforming methods for ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

You've built a chatbot powered by a sophisticated large language model (LLM). It is incredibly confident and impresses everyone in the demo. Then a customer asks: "Can I change my shipping address ...

Microsoft Research conducts fundamental science and technology research across a spectrum of research areas. With labs around the globe we pursue breakthroughs across the computing and AI stack to ...

This progressive tutorial is for building your own AI chat application informed with your enterprise data. In Chapter 1, we start with building a simple ChatGPT-like application using Semantic Kernel ...

In this blog we will walk through a comprehensive example of indexing research papers with extracting different metadata — beyond full text chunking and embedding — and build semantic embeddings for ...