How to Integrate Knowledge Graphs with Python and GraphRAG
In the fast-evolving world of artificial intelligence, the combination of retrieval-augmented generation with knowledge graphs, known as GraphRAG, is redefining how we interact with complex data structures. If you’ve ever wondered how AI can become more data-conscious and contextually aware, GraphRAG offers fascinating possibilities by leveraging the connectivity and relationships inherent in knowledge graphs. Let’s […]
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PostgreSQL 19: Embracing the Future with Graph Queries
The world of databases is abuzz with excitement as PostgreSQL has announced its 19th beta version, and it’s introducing a particularly groundbreaking feature: graph database support. Scheduled to be fully released around September, this new capability is set to extend PostgreSQL’s reputation as the Swiss Army knife of databases, which can already handle a diverse […]
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Introducing RAG 2.0: Agentic RAG + Knowledge Graphs (FREE Template)
In AI-driven knowledge retrieval, blending multiple strategies can create a potent mix that pushes the boundaries of how machines access and process information. In my recent foray into the world of AI agents, I’ve been particularly captivated by two pivotal tools: vector databases and knowledge graphs. These tools, when combined, form a robust system known […]
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How to Make RAG 100x Better with Real-Time Knowledge Graphs
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Frank
- June 9, 2025
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Retrieval-Augmented Generation (RAG) has become a mainstay in modern AI applications. It’s how we inject external knowledge into language models, giving them access to facts and context that aren’t baked into their training data. But let me tell you: RAG on its own is like building a hot rod without a dashboard. Sure, it can […]
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Demo of Advanced RAG with Knowledge Graphs in Neo4J
This video is from Johannes Jolkkonen | Getting Data. I recently created a demo for some prospective clients of mine, demonstrating how to use Large Language Models (LLMs) together with graph databases like Neo4J.
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