Demonstrates how semantic search helps users quickly find the most relevant research across a vast library – reducing time spent sifting through publications and enabling faster access to actionable insights in agriculture and environmental challenges.
read moreArchive for "Operational inefficiency"
Blog Post
GraphDB 11.1: Talk to Your Graph Using Any LLM
Read about how GraphDB 11.1’s chatbot tool helps you quickly setup and evaluate Graph RAG using different LLMs
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demo
Health Advice Search
Demonstrates how precise, self-service search across 200+ medical sources allows users to get reliable answers in seconds – reducing dependency on support channels and ensuring consistent, trusted health information at scale.
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Success Story
Transforming AI Reliability by Building Knowledge Graph-Powered Customer Support
Avalara used GraphRAG to establish a foundation for reliable, mission-critical AI applications in tax and financial services.
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Blog Post
Efficient Discovery of Identifiers with the Autocomplete Tool in Graphwise GraphDB
Read about why the new autocomplete-based tool for Internationalized Resource Identifiers discovery matters, when to use it, and how it works
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demo
GraphRAG ESG Assistant
Demonstrates how structured semantic search lets users quickly navigate complex ESG topics – speeding up compliance checks, and improving data discovery and understanding.
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Success Story
Enhancing Public Access and Legislative Transparency
The UK Parliament leveraged GraphDB to modernize its legislative and open data platform, enabling clearer public information & easier access.
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Success Story
Driving Ecological Building Innovation Through Multi-Disciplinary Data Integration
Technical University of Vienna used Graphwise’s technology to create an ontology-driven design for next-generation multi-species buildings.
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Success Story
Scaling Search and Content Governance with Semantic Technology
Microsoft Docs transformed millions of technical documents into a semantically enriched, scalable knowledge system.
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demo
Microsoft Documentation Management
Demonstrates how a centralized, auto-tagged knowledge base gives users a single place to find accurate information – reducing duplicate content, shortening search time, and ensuring everyone works from the same up-to-date resources.
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