Read about how connecting fragmented biomedical data into a structured knowledge graph and making it queryable in plain language helps Life Sciences organizations move faster and with more confidence.
read moreArchive for "GraphDB"
Blog Post
Mapping Structured Data with Agentic Workflows
Read about a skill-based agentic workflow that automates schema mapping to ontology-aligned RDF, with human review of key modeling decisions.
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Blog Post
Precise Semantic Retrieval: Implementing Chunk-level Vector Search with GraphDB and Elasticsearch
Read our technical guide to implementing chunk-level vector search using GraphDB & Elasticsearch
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Blog Post
Querying Diverse Datasets with MCP
Read about how to integrate JDBC-enabled relational data with your RDF graphs and how to query them both with natural language
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Blog Post
Advancing Power System Analysis with AI and Semantic Data
Read about how Talk2PowerSystem enables power system engineers to query complex grid data using natural language.
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Fundamental
What is a Context Graph?
A context graph is a knowledge graph in which every statement carries metadata about its source, validity period, confidence level, and access scope.
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Blog Post
Beyond the Chatbot: Why Marta is the Smarter Way to Navigate Graphwise
Read about our AI assistant designed to give instant, contextually accurate answers about our products, use cases & business value.
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Blog Post
When FAIR Becomes Architecture: Solving Preclinical Data Fragmentation at Scale
Read about how a top-5 global pharma company transformed a fragmented preclinical in vivo data landscape into a semantically rich knowledge graph
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Blog Post
Check the Fakes or How AI and Knowledge Graphs Bring Information Integrity
Read about Graphwise’s contributions to EC-funded projects on combatting disinformation
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Blog Post
From Retrieval to Reasoning: Enhancing HippoRAG with Graph-Based Semantics
Read about how an ontology-based knowledge graph boosts the multi-hop Q&A accuracy of one of the leading schemaless GraphRAG systems
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