Learn how to build a support agent that relies on information from Stack Overflow using the GenAI Stack – Neo4j, LangChain & Ollama in Docker. Read more →
There’s a new course on GraphAcademy: Building Neo4j Applications with Spring Data. You will learn how to use the Spring Data Neo4j library. Read more →
We’re excited to share the Neo4j Text2Cypher (2024) Dataset with you. It’s designed to help train and benchmark Text2Cypher models with ease. Read more →
Retrieve data from Neo4j using natural language with the Text2CypherRetriever, simplifying query generation for GenAI applications. Read more →
Transform relational data into graph queries in minutes with Neo4j Aura’s new PostgreSQL import, enabling fast, insightful data exploration. Read more →
Explore Neo4j's 2024–2025 roadmap for GraphQL Library, including new features, support timelines, and migration tips for smoother transitions. Read more →
Learn how to monitor Neo4j in a clustered environment using several tools, such as Dynatrace and Kibana, and learn some best practices. Read more →
Learn how to use GenAI, LLMs, and Python to convert unstructured data into graphs. Read more →
The Long-Term Support version of Neo4j 5 (Neo4j 5.26 LTS) will be released in November 2024. Read more →
Learn how to detect bank fraud using Neo4j’s graph database, enabling real-time analysis to uncover hidden fraud rings and protect financial assets. Read more →
Learn how to turn CSV files into graph models using LLMs, simplifying data relationships, enhancing insights, and optimizing workflows. Read more →
Learn GraphRAG through a fun, hypothetical card game that demonstrates how graph enhances RAG applications, without diving into code or technical details. Read more →
Learn to build accurate, explainable recommendation systems with minimal code using Neo4j graph database and Keymaker framework. Read more →
Learn how to build a GraphRAG agent using Neo4j and Milvus, combining graph and vector search for enhanced retrieval, better context, and accurate answers. Read more →
Learn how to overcome the challenges of structured data operations in text embeddings in RAG applications using knowledge graphs. Read more →
Enhance GraphRAG applications by combining hybrid search and graph traversal with Neo4j’s HybridCypherRetriever, improving retrieval for complex queries. Read more →
Explore how graph technology reveal hidden connections among Titanic passengers, transforming complex relationships into actionable insights. Read more →
Explore how graph modeling of Titanic data reveals insights into survivorship by class, gender, age, and cabin location with simplified Cypher queries. Read more →
Neo4j transforms graph database management with Cypher API versioning and calendar-based releases, offering seamless upgrades, flexibility, and features. Read more →
Knowledge graphs can be the secret ingredient to better supplier relationships and cost efficiency. Read more →
Explore advanced GraphRAG retrieval patterns and how graph structures enhance RAG systems. Learn actionable strategies to implement and optimize GraphRAG. Read more →
Recommend movies to users based on their reading histories and ratings. Learn the setup of Neo4j, mapping data into Java with Neo4j Object Graph Mapper (Neo4j-OGM), and crafting Cypher queries for recommendations. Read more →
Explore the pros and cons of fine-tuning versus retrieval-augmented generation (RAG) for overcoming large language model (LLM) limitations. Read more →
Learn how combing vectors and graphs boosts AI’s ability to reason, helping uncover deeper insights and create smarter queries for complex data. Read more →
Learn how to enhance GraphRAG applications with hybrid retrieval using the Neo4j GraphRAG Package for Python, combining vector and full-text search. Read more →
