Neo4j blog

Neo4j Context Engine: Rapidly build dependable enterprise agents

Neo4j Context Engine, now in private preview, enables AI agents to accurately answer questions about your business and reliably execute its processes.

5 min read

Vector RAG vs. GraphRAG: Which retrieval do you need?

10 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read

Emil Eifrem

CEO & Founder, Neo4j

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Announcing Neo4j JDBC driver version 6

12 min read

Needle StarterKit 2.0: Templates, chatbot, and more!

3 min read

Accelerate Neo4j app development with low-code Keymaker framework

5 min read

Cypher Workbench as a Neo4j Labs project

6 min read
Dave Aitel

This week in Neo4j: Cypher, GenAI, podcast, graph databases and more

3 min read

Generative transformation from ER diagram to graph model using Google’s Gemini Pro

10 min read
Implementing RAG: How to write a graph retrieval query in LangChain

Implementing RAG: How to write a graph retrieval query in LangChain

8 min read
Sebastian Lobentanzer

This week in Neo4j: GraphAcademy, algorithms, GenAI, knowledge graphs and more

3 min read

Clustering large graphs with CLARANS

17 min read

JSON-based agents with Ollama & LangChain

9 min read

PyNeoInstance: A user-friendly Python library for Neo4j

8 min read

Using LangChain and Neo4j to process YouTube playlists and perform Q&A flow

10 min read