Author(s): Alok Choudhary

Originally published on Towards AI.

Everything about graph databases: Stop struggling with JOIN queries. Learn Cypher queries, vs SQL comparison, and building RAG applications with LangChain in 2026.

In today’s data-driven world, the way we store and retrieve information has evolved significantly. While traditional databases have served us well for decades, there’s a growing need for systems that can handle complex relationships between data points more efficiently. This is where graph databases come into play, offering a revolutionary approach to data management that mirrors how we naturally think about connections in the real world.

This comprehensive guide will take you through everything you need to know about graph databases, from understanding knowledge graphs to comparing graph databases with traditional SQL databases, alongside practical applications such as Neo4j and Cypher queries, ultimately illustrating how these technologies integrate with modern AI and machine learning systems.

Read the full blog for free on Medium.

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Published via Towards AI