GraphNews

Bridge the gap and unlock hidden potential within your unstructured data

New features include community summaries, local and global retrievers, running retrievers in parallel, and custom prompt instructions.

When (not) to use GraphRAG

Explore its functionality and how it leverages the power of LLMs and Neo4j graph databases to improve data analysis and knowledge discovery.

Enabling an LLM to chat directly with structured graph data

David Hughes presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025.

As technology advances, large language models (LLMs) and information retrieval/management methods evolve at breakneck speed. Knowledge…

A RAG System Built for Both Semantic Search and Structured Data Queries

Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga

A deep dive into LangChain’s implementation of graph construction with LLMs

Using SPARQL and the Knowledge Graph for RAG

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

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…

When to use graph data models, such as parent-child, question-based, and topic-summary, for RAG applications powered by knowledge graphs.