Building Graph Memory for AI Agents with LangGraph & Neo4j | Step-by-Step Tutorial

Описание: Resources:
GitHub repo: https://github.com/homayounsrp/React_...
LangGraph docs: https://blog.langchain.dev/memory-for... this video I’ll show you how I built a context-aware AI agent with LangGraph and Neo4j that truly never forgets. Watch my full LangGraph–Neo4j integration, see how I added persistent agent memory using a knowledge graph, and explore the AI memory architecture powering this stateful chatbot. Whether you need a hands-on LangGraph tutorial or a deep dive into Neo4j tutorial best practices, this walkthrough covers everything to create scalable, long-term AI memory in your own projects.

🔍 What You’ll Learn

Agent Memory: Schema design for storing and retrieving conversation context with LangGraph

Memory Management: Techniques to update, prune, and scale your knowledge graph agent

Vector Memory Agent: Encoding, embeddings, and semantic search for instant recall

Graph Database AI: Saving memory as nodes & edges in Neo4j

LangGraph Pipelines: Building connectors, custom nodes, and graph-powered RAG

Scalable AI Memory: Performance tips as your dataset grows

End-to-End Agent: Live demo of an AI agent that adapts over time

🛠️ Key Features Demonstrated

Context-aware agent referencing past messages with precision

Real-time AI agent demo showcasing memory “in action”

LangGraph + Neo4j integration code snippets for production

Best practices for high-throughput, persistent AI memory

📅 Chapters
00:00 – Introduction & Overview
00:01:02 – Agent System Design
00:01:18 – File Structure
00:01:42 – Long-Term Memory Database Connection
00:02:12 – Long-Term vs. Short-Term Memory
00:04:12 – Streamlit Chatbot UI

👍 If you find this LangGraph tutorial helpful, hit Like and Subscribe for more Neo4j tutorial content. Drop your questions about agent memory, stateful chatbots, or knowledge graph AI below—and let’s push the boundaries of conversational AI together!

Tags:
langgraph tutorial, langgraph agent, langgraph js, langgraph project, langgraph memory, langgraph context, langgraph vector, langchain tutorial, langchain agent, ai agent tutorial, neo4j tutorial, knowledge graph AI, vector database chatbot, stateful chatbot, persistent memory agent, context aware chatbot, graph embeddings, streamlit chatbot, python chatbot