Dynamic labels, types, and properties are a significant step forward in mitigating Cypher injection risks while promoting more concise, readable, and maintainable code. Read more →
Give LLMs like Claude the power of knowledge graphs with Anthropic's Model Context Protocol (MCP) and Neo4j. Read more →
Integrate Neo4j knowledge graphs with LangChain for powerful GraphRAG applications that deliver deeper, more insightful answers. Read more →
Learn about Cypher features in Neo4j 5 that may look minor, but that can have a huge impact, such as Unicode normalization. Read more →
Simplify and streamline the management of your Neo4j Aura resources directly from the command line. Read more →
Explore how GraphRAG can be used to streamline the process of ingesting commercial contract data and building a Q&A Agent. Read more →
If transitioning to the Query API, get an overview of the key areas to consider and plan for. Read more →
Dive into the impact of fine-tuning models for the Text2Cypher task of transforming natural language questions to Cypher queries. Read more →
Learn how to get a Neovim environment from 0 to Cypher support with an aesthetic improvement bonus. We cover setup, adding the plugins, and adding color. Read more →
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 →
Explore performance benchmarks of LLM models on Neo4j Text2Cypher (2024) Dataset, comparing foundational vs. fine-tuned models for Cypher query translation. 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 →
