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NODES 2024
The 140+ talks about Knowledge Graphs, AI, RAG, and Apps are available
The 140+ talks about Knowledge Graphs, AI, RAG, and Apps are available
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Latest
Graphiti: Knowledge Graph Memory for a Post-RAG Agentic World

Graphiti: Knowledge Graph Memory for a Post-RAG Agentic World

An open-source Python framework for real-time, graph-based knowledge in Neo4j
Go to the profile of Daniel Chalef
Daniel Chalef
Modeling Agent Memory

Modeling Agent Memory

How can graphs help us model different types of agent memory?
Go to the profile of Alex Gilmore
Alex Gilmore
LLM Knowledge Graph Builder Front-End Architecture and Integration

LLM Knowledge Graph Builder Front-End Architecture and Integration

Written by Kartik Joshi and Prakriti Solankey  — March 16, 2025
Go to the profile of Kartik Joshi
Kartik Joshi
Function Calling in Agentic Workflows

Function Calling in Agentic Workflows

Effectively use function calling with LangChain, LangGraph, and Pydantic
Go to the profile of Alex Gilmore
Alex Gilmore
Building AI Agents With the Google Gen AI Toolbox and Neo4j Knowledge Graphs

Building AI Agents With the Google Gen AI Toolbox and Neo4j Knowledge Graphs

Learn how to build agentic applications that integrate database-based tools with the Google Gen AI Toolbox.
Go to the profile of Michael Hunger
Michael Hunger
Building Knowledge Graphs with Claude and Neo4j: A No-Code MCP Approach

Building Knowledge Graphs with Claude and Neo4j: A No-Code MCP Approach

Extract and generate a knowledge graph from educational curriculum information without writing a single line of code
Go to the profile of Manjunath Janardhan
Manjunath Janardhan
Automate Start and Stop of Neo4j AuraDB Instances Using GitHub Actions

Automate Start and Stop of Neo4j AuraDB Instances Using GitHub Actions

Manage Aura instances with scheduled or manual triggers
Go to the profile of Klaus Mueller
Klaus Mueller
Neo4j Text2Cypher: Analyzing Model Struggles and Dataset Improvements

Neo4j Text2Cypher: Analyzing Model Struggles and Dataset Improvements

Check out key areas where our baseline and fine-tuned models struggle.
Go to the profile of Makbule Gulcin Ozsoy
Makbule Gulcin Ozsoy
Knowledge Graph Extraction and Challenges

Knowledge Graph Extraction and Challenges

Extraction in the Neo4j LLM Knowledge Graph Builder transforms raw text into structured knowledge, making it searchable and queryable.
Go to the profile of Kaustubh Darekar
Kaustubh Darekar
Solve Scheduling Problems With Relationship Coloring and Neo4j

Solve Scheduling Problems With Relationship Coloring and Neo4j

When multiple entities interact but can only interact with one other entity at a time, we can model the problem as a graph
Go to the profile of Nathan Smith
Nathan Smith
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