SMART SEARCH

Trusted answers when it matters

Traditional search leaves out valuable results or requires sifting through responses. A knowledge graph captures user intent for a smarter search application.

Exploding volumes of information make it harder to find the right information. Whether you’re building an internal knowledge base or a user-facing app, smart search ensures you’ll find the best results.

Complete, correct, and explainable results

Traditional search is a lossy process, and balancing precision and recall means either missing out on results or getting many irrelevant results. Stardog enables a true smart search that scans the knowledge graph for synonyms, fuzzy matches, translations and concepts related to the search terms in order to provide all relevant items. The data model is highly explainable, offering a rationale for the results.

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IDB's Findability Project increases availability of research

Search across structures and sources

Unlock all relevant data sources to power search across SQL, NoSQL and full-text documents. Stardog’s virtual graph capability ensures that live data can be accessed, reducing data redundancy and ensuring the most up-to-date data is accessed. With data unified across sources, users save time finding the answers they need.

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Bosch’s Power Tool app searches across structures

The best backend for intelligent applications

Use Stardog to organize the data for your chatbot or recommendation engine. AI depends on providing intelligent answers, and knowledge graphs enable this by mapping the myriad associations between concepts. The result: user intent is more easily captured, providing better results.

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National Bank of Canada’s uses smart search to accelerate digital transformation

  • Quote

    My Smart Hub allows employees to spend less time searching, discovering, getting answers, and automating repetitive tasks”

    Senior Director, Digital Transformation, National Bank of Canada

Features

Reusable

Stardog easily incorporates new data sources, allowing for easy iterative development of smart search enabled applications

Explainable

Where some AIs cannot provide explanations for results, Stardog offers proofs for all query results for easy interpretation

BITES

BITES translates full-text documents into searchable data, capturing concepts and their relationships

Built-in ML

Use built in predictive analytics and similarity search to develop models to improve recommendations in search results