Retrieval Augmented Generation enhances LLMs with external knowledge for more accurate, contextual question answering.
read moreArchive for "GraphDB"
Fundamental
What Is a Large Language Model?
Large Language Models (LLMs) are Machine Learning models that are trained on massive datasets of text to understand, summarize, generate and predict language.
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Blog Post
AstraZeneca: Enabling New Medicines Through Semantic Knowledge Graphs
Read this abbreviated & updated version of a talk from the Graph AI Summit 2025 by Ben Gardner, AstraZeneca
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Resource
GraphRAG Curator interview with Bob DuCharme
DuCharme explains how Graphwise offers comprehensive tools including PoolParty taxonomy manager and GraphDB triple store
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Blog Post
AI-ready Graph Environments: The Key to Scaling AI with Graphwise’s Knowledge Graphs
Read about why most enterprise AI fails and how Graphwise creates graph environments using knowledge graphs and semantics.
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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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Blog Post
The Power of Model Context Protocol: Using Natural Language to Query GraphDB
Read about how MCP enables you to query knowledge graphs using natural language instead of complex SPARQL syntax
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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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Blog Post
Talk to Your Graph on top of Nature FIRST Biodiversity Knowledge Graph
Read about how the GraphDB Talk to Your Graph feature enables natural language querying of the Nature FIRST Biodiversity Knowledge Graph
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Fundamental
What Is SPARQL?
SPARQL is the standard query language and protocol for Linked Open Data on the web and RDF databases, designed by the W3C.
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