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Getting started with Memgraph and G.V()!

Getting started with Memgraph and G.V()!

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Memgraph+G.V() is a classic combination that turns your computer into a formidable tool for analysis and visualization, which is exactly what we’d like to show you today. We’ll first explore how to get started with Memgraph itself and use some of Memgraph’s own built-in visualization options, then we’ll show how G.V() can unlock even more of Memgraph’s potential.

G.V() is now compatible with FalkorDB

G.V() is now compatible with FalkorDB

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Descended from RedisGraph technology, FalkorDB is a versatile graph database that excels in multiple use cases. Its powerful GenAI-focused approach is ideal for applications such as GraphRAG, agentic memory, chatbots, fraud detection and cyber security – all of this while boasting multi-tenancy support, ultra-low latency, flexible horizontal scaling, vector search and highly efficient memory usage.

From raw data to a knowledge graph with SynaLinks

From raw data to a knowledge graph with SynaLinks

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SynaLinks is an open-source framework designed to make it easier to partner language models (LMs) with your graph technologies. Since most companies are not in a position to train their own language models from scratch, SynaLinks empowers you to adapt existing LMs on the market to specialized tasks.

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