Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...

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

For years, law firms and legal teams have lived with a knowledge problem hiding in plain sight. A new associate joins a complex matter and spends days reconstructing context that already exists ...

A context graph could capture the full context, reasoning, and causal relationships behind critical business decisions. It’s a powerful idea. A December 2025 paper from Silicon Valley venture capital ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...

Jaya Gupta and Ashu Garg of Foundation Capital on December 23rd, 2025, introduced the term "context graphs" in Context Graphs: AI’s Trillion Dollar Opportunity The paper describes a framework that ...

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

The funding round was led by Norwest, with participation S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor.

Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...