Memgraph’s AI ecosystem

AI drives a wide range of innovations, from machine learning (ML) models to natural language processing (NLP) systems and beyond. These technologies frequently intersect, enabling the creation of powerful applications with Generative AI (GenAI), including advanced chatbots and agents.

What You’ll Find Here

This section of Memgraph’s documentation is your guide to using Memgraph for AI:

• Building GenAI apps with GraphRAG: See how knowledge graphs enable more efficient and scalable RAG systems.
• AI integrations with Memgraph: We have several integrations with popular AI frameworks to help you customize and build your own GenAI application from scratch. Some of the libraries that support Memgraph include LangChain and LlamaIndex.
• GraphChat in Memgraph Lab: Explore how natural language querying (GraphChat) ties into the GraphRAG ecosystem, making complex graphs accessible to everyone.
• Machine learning with Memgraph: Learn how Memgraph powers ML workflows with graph-powered insights.