External Media

Earlier this year, Microsoft announced their GraphRAG project, and ignited a storm of interest in how Knowledge Graphs can improve results from Generative AI. In this series, we will take a high level look at the characteristics of several graph-enabled RAG approaches (including Microsoft-style GraphRAG) and compare them to other approaches on a simple use case.

Based on graph technology (Kobai Saturn based on lakehouses), a tool to help find the answer to “so what” in your data. Crunching the data to find an answer is great, but also being able to quickly find root cause analysis or ways to address the issue quickly and confidently, that’s where Kobai really shines.

Kobai Saturn is a recently released RDF graph backend from Kobai. The basic idea behind Kobai is to provide business users and subject matter experts (SMEs) the means to build and interact with knowledge graphs.

The data lakehouse is a hybrid term used to denote some of the structures we would find in a more ordered data warehouse with the expansiveness and lower cost functionality of the data lake. But, finding our way around the data lakehouse, even with its defined edges and channels can still be tough.

Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy big data and data management news items.

Kobai this week announced the launch of Saturn, a new offering designed to bring the power of the knowledge graph to data already stored in lakehouses. By creating a semantic layer that sits atop Snowflake and Databricks

Codeless knowledge graph platform supplier Kobai has announced the availability of Saturn, whichj it says is the industry’s first knowledge graph to harness the scale, performance, and cost efficiency of the Lakehouse architecture.