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
Better LLM Integration With Content-Centric Knowledge Graphs
Learn how to build a technical support chatbot with deeper, more relevant retrieval.
Content-Centric Knowledge Graphs
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