GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Edge’s ColdFront could appeal to enterprises looking to reduce storage costs without sacrificing application compatibility or ...

Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

Building a RAG system can be challenging. In addition to deployment and infrastructure challenges (eg, scaling up your vector db), there are many tradeoffs and decisions to make for each component of ...

MongoDB has released the source code of mongot, the engine that powers MongoDB Search and Vector Search, under the Server Side Public License. Analysts say the move would help developers of the ...

Suncorp Group is planning a multi-agent approach for its AI strategy, and is building out a library of reusable components that will help it to scale the technology across its brands. The insurer, ...

is editor-in-chief of The Verge, host of the Decoder podcast, and co-host of The Vergecast. Today, I’m talking with Prashanth Chandrasekar, who is the CEO of Stack Overflow. I last had Prashanth on ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...