AI case study

Wikimedia DeutschlandKnowledge search

Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.

Published

Key results

Build Time Reduction
90%
Query Speed Increase
30x

Result highlights

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The story

Context

One of the world's largest open knowledge graphs, with hundreds of millions of entities and relationships connecting information about people, places, and events, forming the structured data backbone of Wikipedia, which billions of people rely on monthly.

Challenge

Developers and researchers needed specialized query languages and complex workflows to retrieve anything meaningful from the graph, creating a steep...

Solution
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Quotes

The company

Wikimedia Deutschland logo

Wikimedia Deutschland

wikimedia.de

Non-profit organization advocating for free knowledge and supporting Wikipedia.

IndustryNon-Profit & Social Impact
LocationBerlin, Germany
Employees51-250
Founded2004

The vendor

Enterprise technology and consulting for cloud computing, AI, and business solutions.

IndustryTechnology
LocationArmonk, New York, United States
Employees100K+
Founded1911

Use case

Wikimedia Deutschland's Knowledge search is part of this use case:

Specialized Search
29 case studies(+42% YoY)
Proven impact?
LowModerateVery Strong
5.1Strong
3.9Moderatewithin Product Engineering

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