Graphiti: Knowledge Graph Memory for a Post-RAG Agentic World
An open-source Python framework for real-time, graph-based knowledge in Neo4j
Google Cloud & Neo4j: Teaming Up at the Intersection of Knowledge Graphs, Agents, MCP, and Natural Language Interfaces - Graph Database & Analytics
We’re thrilled to announce new Text2Cypher models and Google’s MCP Toolbox for Databases from the collaboration between Google Cloud and Neo4j.
Everything a Developer Needs to Know About the Model Context Protocol (MCP) - Graph Database & Analytics
The Model Context Protocol gives users a wide range of services they can connect to from the comfort of their AI client.
Using Spanner Graph with LangChain for GraphRAG | Google Cloud Blog
Learn how to use Spanner Graph with LangChain workflows to build advanced, relationship-aware RAG systems, a.k.a. GraphRAG.
Talk To Your Graph 2.0 - A Partner’s View
Read about how our partners from Semantic Partners explore the latest iteration of the GraphDB's Talk To Your Graph feature
Build your hybrid-Graph for RAG & GraphRAG applications using the power of NLP | LinkedIn
Build a graph for RAG application for a price of a chocolate bar! What is GraphRAG for you? What is GraphRAG? What does GraphRAG mean from your perspective? What if you could have a standard RAG and a GraphRAG as a combi-package, with just a query switch? The fact is, there is no concrete, universal
Introduction to the Neo4j LLM Knowledge Graph Builder
Bridge the gap and unlock hidden potential within your unstructured data
LLM Knowledge Graph Builder — First Release of 2025
New features include community summaries, local and global retrievers, running retrievers in parallel, and custom prompt instructions.
Should you be using GraphRAG?
When (not) to use GraphRAG
Introduction to the Neo4j LLM Knowledge Graph Builder
Explore its functionality and how it leverages the power of LLMs and Neo4j graph databases to improve data analysis and knowledge discovery.
Chatting with your knowledge graph
Enabling an LLM to chat directly with structured graph data
A comparison between ChatGPT and DeepSeek capabilities writing a valid Cypher query
Today, I conducted a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them…
a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them with writing a valid Cypher query to answer the question.
Multimodal Graph RAG (mmGraphRAG): Incorporating Vision in Search and Analytics - Enterprise Knowledge
David Hughes presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025.
Neo4j in 2024: Delivering on Our Vision of Cloud-First Graph Technology - Graph Database & Analytics
Discover Neo4j's 2024 product innovations in cloud-native graph technology, enhancing performance, scalability, AI innovation, and developer productivity.
GraphRAG interview — Alonso
As technology advances, large language models (LLMs) and information retrieval/management methods evolve at breakneck speed. Knowledge…
LangGraph AI Agents with Neo4j Knowledge Graph
A RAG System Built for Both Semantic Search and Structured Data Queries
Introducing the Neo4j Text2Cypher (2024) Dataset
Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga
Introducing the Fine-Tuned Neo4j Text2Cypher (2024) Model
Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga
Building Knowledge Graphs with LLM Graph Transformer
A deep dive into LangChain’s implementation of graph construction with LLMs
Microsoft GraphRAG with an RDF Knowledge Graph — Part 3
Using SPARQL and the Knowledge Graph for RAG
loading Microsoft Research GraphRAG data into Neo4j
Many people have asked about loading Microsoft Research #GraphRAG data into Neo4j. I wrote a quick notebook last night to import Documents, Chunks (TextUnit)… | 27 comments on LinkedIn
loading Microsoft Research hashtag#GraphRAG data into Neo4j
GitHub - a-s-g93/neo4j-runway: End to end solution for migrating CSV data into a Neo4j graph using an LLM for the data discovery and graph data modeling stages.
End to end solution for migrating CSV data into a Neo4j graph using an LLM for the data discovery and graph data modeling stages. - a-s-g93/neo4j-runway
This notebook converts CSV data into a Neo4j Graph Database
This notebook converts CSV data into a Neo4j Graph Database. All you do is describe your data. Have you wanted to see what your data looked like as a graph…
Graph Data Models for RAG Applications
When to use graph data models, such as parent-child, question-based, and topic-summary, for RAG applications powered by knowledge graphs.
Graph-based metadata filtering for improving vector search in RAG applications
Optimizing vector retrieval with advanced graph-based metadata techniques using LangChain and Neo4j
Editor's Note: the following is a guest blog post from Tomaz Bratanic, who focuses on Graph ML and GenAI research at Neo4j. Neo4j is a graph database and analytics company which helps organizations find hidden relationships and patterns