The Stardog Blog
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Radical versus Pragmatic AI: Stardog is in the pragmatic faction, focused on better GenAI outcomes for the enterprise
LLMs are machines for telling people (and other machines) what to say do next. Making them a part of ongoing streams of conversation is the key to using AI successfully.
The current rage for RAG in LLMs and GenAI is a very dumb idea for regulated enterprises. DO NOT DO THIS.
The Databricks DI Platform, built on lakehouse architecture, coupled with Stardog as a semantic layer, provides a robust and scalable alternative to tedious and brittle traditional approaches to matching patient records.
In our previous post we answered the question how Stardog uses AI by explaining our use of Hybrid AI with LLM to build, manage, and query knowledge graphs with ordinary language. The question today goes the other way around; how does AI use Stardog, that is, how does enterprise generative AI use an enterprise knowledge graph?
Voicebox, our LLM-powered knowledge engineer, accelerates time to value by making it easier to build and query knowledge graphs, but we haven’t yet said much about how it works. In this blog I will explain the high-level design of Voicebox, including how we use LangChain.
Stardog 9.1.0 (2023.2) delivers key platform capabilities that make Stardog easier to integrate into modern enterprise environments.
Stardog Cloud is the first Enterprise Knowledge Graph platform to support AWS PrivateLink. Now, by implementing AWS PrivateLink, Stardog Cloud is able to virtualize locally-hosted enterprise sources without sending data over the internet, instead relying on the private, secure connection provided by PrivateLink.
The mission of the recent Data + AI Summit 2023 organized by Databricks was clearly democratizing data + AI. Stardog shares Databrics’ mission and believes the knowledge graph to be the intersection point between data management and knowledge management reducing barriers of entry for organizations building a data vocabulary and making data and insights more accessible.
Looking for proof of a faster way to derive insights from your data? Stardog recently refreshed its Starbench report, which contains a comprehensive set of performance metrics, including some benchmarking data in comparison with a commercial RDF graph database. Let’s explore the results.
As you might have heard, Stardog is applying Large Language Models (LLMs) to enterprise knowledge graph technology. Here is a quick FAQ to get you up to speed.
Stardog recently released a Knowledge Catalog as part of its knowledge graph platform, which easily extends to quickly harvest enterprise metadata with integrations for Databricks Unity, Collibra and Microsoft Purview Data catalogs, and any JDBC-accessible data source.