Context Engineer

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

20 courses

Neo4j & GenerativeAI Fundamentals

2h

Learn how Neo4j and GraphRAG can support your Generative AI projects

Introduction to Vector Indexes and Unstructured Data

1h

Understand and search unstructured data using vector indexes

Building Knowledge Graphs with LLMs

1h

Learn how to use Generative AI and LLMs to convert unstructured data into knowledge graphs.

Using Neo4j with LangChain

1h

Learn how to use Neo4j in your GenAI applications with LangChain

Using Neo4j with LangChain.js

Using Neo4j with LlamaIndex

Build a Neo4j-backed Chatbot using Python

Build a Neo4j-backed Chatbot with TypeScript

Constructing Knowledge Graphs with Neo4j GraphRAG for Python

2h

Learn how to use Python and LLMs to convert unstructured data into knowledge graphs.

Evaluating GraphRAG with RAGAS

Build a ReAct agent with Neo4j and LangChain

Building GraphRAG agents with LangGraph

Building GraphRAG agents with LangGraph.js

Building GraphRAG Agents with CrewAI

Context Graphs: Agent Memory with Neo4j

2h

Build an AI agent that records its reasoning, then query the trace to understand what it did and why

Building GraphRAG Agents with ADK

Developing with Neo4j MCP Tools

2h

Learn how to use the Neo4j MCP server and tools to create intelligent AI applications

Building GraphRAG Python MCP tools

2h

Build your own GraphRAG MCP server with graph-backed tools and resources.

Building GraphRAG TypeScript MCP tools

2h

Build your own GraphRAG MCP server with graph-backed tools and resources using TypeScript.

Building Agents in Neo4j Aura

2h

Learn to build and publish agentic systems in Neo4j Aura