Effortless RAG With Text2CypherRetriever
Nov 01 5 mins read
Retrieve data from Neo4j using natural language with the Text2CypherRetriever, simplifying query generation for GenAI applications. Read more →
GraphRAG – The Card Game
Oct 01 7 mins read
Learn GraphRAG through a fun, hypothetical card game that demonstrates how graph enhances RAG applications, without diving into code or technical details. Read more →
Getting Started With the Neo4j GraphRAG Python Package
Jul 17 5 mins read
The Neo4j GenAI Package for Python equips you with the tools to efficiently manage retrieval and generation processes in a RAG setup. Read more →
Integrating unstructured.io with Neo4j AuraDB to Build a Document Knowledge Graph
Jul 16 7 mins read
Learn how to use unstructured.io for PDF document parsing, extracting, and ingestion into the Neo4j graph database for GenAI applications. Read more →
Topic Extraction with Neo4j GDS for Better Semantic Search in RAG Applications
May 08 17 mins read
Learn how to extract topics from documents with graph data science and use them as the basis for semantic search for better RAG applications. Read more →
genaigraph data sciencegraph-algorithmsknowledge-graphllmNeo4jragretrieval-augmentedsemantic searchtopic extraction
Adding Retrieval-Augmented Generation (RAG) to Your GraphQL API
Apr 28 8 mins read
How to add retrieval-augmented generation (RAG) to your @neo4j/graphql projects using LangChain.js, step-by-step. Read more →
Graph Data Models for RAG Applications
Apr 09 6 mins read
Learn when to use graph data models, like parent-child, question-based, and topic-summary, for RAG applications powered by knowledge graphs. Read more →
data-modelinggraph data modelknowledge graphsllmNeo4jparent childragretrieval augmented generationretrieval-augmented
