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Latest
Introducing Your New Cypher Co-Pilot
Introducing Your New Cypher Co-Pilot
Available in Neo4j Aura to all Workspace users
Greg
Jul 11
Implementing ‘From Local to Global’ GraphRAG with Neo4j and LangChain: Constructing the Graph
Implementing ‘From Local to Global’ GraphRAG with Neo4j and LangChain: Constructing the Graph
Combine text extraction, network analysis, and LLM prompting and summarization for improved RAG accuracy
Tomaz Bratanic
Jul 9
Neo4j Desktop 1.6.0 and Graph Apps update
Neo4j Desktop 1.6.0 and Graph Apps update
All new third-party Graph App installations are restricted due to dwindling usage
Nissanka Fernando
Jul 8
GraphRAG in (Almost) Pure Cypher
GraphRAG in (Almost) Pure Cypher
We will do a simple GraphRAG application using just Neo4j and its built-in support for OpenAI.
Christoffer Bergman
Jul 3
Graph Exploration By All MEANS With mongo2neo4j and SemSpect
Graph Exploration By All MEANS With mongo2neo4j and SemSpect
Visualizing and Exploring the Data Graph Behind Every MEAN Stack
Thorsten Liebig
Jun 26
Mix and Batch — A Technique for Fast, Parallel Relationship Loading in Neo4j
Mix and Batch — A Technique for Fast, Parallel Relationship Loading in Neo4j
Load relationships two to three times faster
Eric Monk
Jun 25
Customizing Property Graph Index in LlamaIndex
Customizing Property Graph Index in LlamaIndex
Entity deduplication and custom retrieval methods to increase GraphRAG accuracy
Tomaz Bratanic
Jun 24
Get Started With GraphRAG: Neo4j’s Ecosystem Tools
Get Started With GraphRAG: Neo4j’s Ecosystem Tools
The Neo4j GraphRAG Ecosystem Tools make it easy to develop GenAI applications grounded with knowledge graphs.
Michael Hunger
Jun 19
LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes
LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes
Extract and Use Knowledge Graphs in Your GenAI App
Morgan Senechal
Jun 19
A Tale of LLMs and Graphs — The GenAI Graph Gathering
A Tale of LLMs and Graphs — The GenAI Graph Gathering
Neo4j, LLM creators, RAG orchestrators, knowledge graph designers, researchers, and deep thinkers gathered to explore GenAI.
Andreas Kollegger
Jun 17
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