data.world has launched its groundbreaking AI Context Engine – intended to assist teams in building AI-powered applications with data and organizational knowledge.
Pitched as pioneering, the new platform is designed to securely unlock vast amounts of organizational data for teams building and using chat interfaces with Large Language Models (LLMs).
The platform is said by data.world to be the first solution of its kind to give teams fast, trusted access to company knowledge.
Its launch marks a significant milestone in data.world’s mission to help teams tap into the full potential of data.
The data. world team partnered with customers pursuing AI initiatives to help them leverage data and organizational knowledge with LLMs.
These customers have built new AI-powered tools and products with data.world at their core.
The AI Context Engine enables trusted conversations with company data and knowledge by using them as context for generative AI via the knowledge graph-powered data catalog and governance platform.
Using the data captured in the knowledge graph, AI-powered applications can answer team questions with increased accuracy.
The platform can also help explain an LLM’s path to query response – and which approved data sources and terms were used.
“Our AI Context Engine meets the urgent challenge facing data teams and decision makers who depend on data, by enabling data accessibility, governance, and explainability in a way that wasn’t possible before,” said Bryon Jacob, data.world co-founder and CTO.
“We’re seeding a culture where data-driven decision-making is the norm.”