GraphAcademy

Context Engineer

Build intelligent AI applications with Neo4j as the knowledge graph backbone for LLMs and agentic systems.

20 courses

Neo4j & GenerativeAI Fundamentals

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Introduction to Vector Indexes and Unstructured Data

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Building Knowledge Graphs with LLMs

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Using Neo4j with LangChain

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Using Neo4j with LangChain.js

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Using Neo4j with LlamaIndex

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Build a Neo4j-backed Chatbot using Python

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Build a Neo4j-backed Chatbot with TypeScript

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Constructing Knowledge Graphs with Neo4j GraphRAG for Python

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Evaluating GraphRAG with RAGAS

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Build a ReAct agent with Neo4j and LangChain

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Building GraphRAG agents with LangGraph

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Building GraphRAG agents with LangGraph.js

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Building GraphRAG Agents with CrewAI

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Context Graphs: Agent Memory with Neo4j

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Building GraphRAG Agents with ADK

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Developing with Neo4j MCP Tools

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Building GraphRAG Python MCP tools

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Building GraphRAG TypeScript MCP tools

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Building Agents in Neo4j Aura

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