Graph Database
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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Untangling Graph Technology: A Q&A with GraphGeeks Founder Amy Hodler
Read about the current graph technology landscape, its real-world applications, and where the industry is headed.
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Context Is Everything: How Knowledge Graphs Make RAG Actually Work
Read about two real-world deployments of how to ground retrieval in a knowledge graph.
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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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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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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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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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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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What Is a Semantic Layer?
The benefits of the semantic layer in organizing and abstracting enterprise data to facilitate decision-making.
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What Is a Knowledge Graph?
Knowledge graphs are a collection of interlinked descriptions of entities that put data into context and enable data analytics & sharing.
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What Are Knowledge Embeddings?
Knowledge graph embeddings are vector representations of entities and relationships in a knowledge graph, used to predict missing links and facilitate machine learning tasks.
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What Is Ontology?
An ontology is a rulebook defining concepts within a specific domain, their properties, and their relationships, ensuring a common understanding of information and enabling organizations to make better sense of their data.
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