AI In Action
Our AI in Action initiative enables data scientists and engineers to benefit from Ontotext’s AI capabilities: GraphDB and Ontotext Metadata Studio features, public services, demonstrators, and datasets.
AI in Action shares design patterns, sample queries and configs, evaluations and benchmarks – everything you need to understand how these capabilities can be used and what performance and quality should be expected.
You can also join our dedicated LinkedIn Group and start the conversation there.
Who is AI in Action for?
AI-in-action is aimed to help both groups.
Early-stage AI enthusiasts
Early-stage AI enthusiasts tend to be overenthusiastic about a single model and approach. They often think that vector representations were invented recently, while in fact, the “A Vector Space Model for Automatic Indexing” paper was published in 1975 and each FTS engine developed in the last 30 years has a vector database component in it.
Adept AI engineers
Adept AI engineers know that there is no silver bullet and you should make a thoughtful decision about the most efficient and practical combination of data, tools, models and engines.
Blog
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