AWS enters the context layer race with a graph that learns from agents, not manual curation

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships ...
Tech Xplore on MSN

Next-generation database reduces AI hallucinations and improves accuracy by 78%

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 ...

KAIST: "Improving Data Processing Accuracy and Speed, Key to Overcoming Barriers to ...

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

KAIST Unveils Database Tech Cutting AI Errors by 78%

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

Jedify Raises $24 Million in Series A Funding to Build Context Graphs for Enterprise AI Agents

Norwest leads the round with strategic participation from Snowflake Ventures, as Jedify addresses the AI context problem that ...