Arango believes recognition highlights its native multimodel architecture, customer adoption, and contextual data foundation ...

Couchbase unveils Couchbase AI Data Plane to provide a single, governed data layer for AI agents running in production.

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

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

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries fast and efficiently, carry citations and lineage on every ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships automatically, with no manual re-curation needed.

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.

Most teams bolt a vector database to a graph database and then spend their lives keeping the two in sync. Two systems, two copies of the data, two failure modes, and a layer of glue code in between ...