Enterprise Knowledge Search
La Trobe University needed faster access to approved research knowledge and a quicker way to turn research findings into market-ready applications, but manual knowledge discovery and limited development capacity slowed both goals.
Reported impact
La Trobe shortened research access and application delivery cycles at the same time, proving that a governed RAG architecture can reduce development costs, accelerate market entry and help academic teams operationalize expertise much faster.
La Trobe University worked with IBM on two connected generative-AI use cases built on IBM Watson Discovery, IBM watsonx Assistant and IBM watsonx.ai. In the first, researchers implemented a retrieval-augmented generation architecture over more than 100 autism papers so they could query university-approved knowledge without manually searching every document. Discovery handled source retrieval, watsonx.ai generated grounded responses and watsonx Assistant exposed the interaction layer. In the second, the same IBM watsonx portfolio was used to co-design an application that helped researchers transform their expertise into market-facing offerings much faster than traditional development approaches. The overall architecture paired governed knowledge retrieval with rapid application delivery, letting the university use one AI stack both to streamline research operations and to shorten the path from research insight to deployable solution.
Approved research papers are ingested into Discovery, user questions flow through watsonx Assistant, Discovery supplies relevant passages to watsonx.ai for RAG-based answers, and the same IBM watsonx stack supports application development for market-facing use cases.
The university reduced development time from months to weeks
achieved an 8.7-fold cost savings
implemented a retrieval-augmented generation (RAG) architecture
using over 100 papers on autism
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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