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

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most recent

Creating a custom connector in Confluent Cloud to sink data to Aura for real-time analysis (part 2)

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Learning Neo4j your way

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Conversational Artificial Intelligence with Neo4j and the Unreal Engine—Part 3

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Building a recommendation engine using Neo4j hands-on—Part 2

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Streaming data from Confluent Cloud to AuraDB for real-time graph analytics (Part 1)

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NeoDash 2.3: Create graph dashboards with LLM-powered natural language queries

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Knowledge graphs & LLMs: Real-time graph analytics

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Medical Subject Headings (MeSH) into Neo4j

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Neo4j GraphQL Toolbox—improved!

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Hot algo summer: New algorithms in Neo4j Graph Data Science

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Building a recommendation engine using Neo4j hands-on—Part 1

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Celebrate Pride Month: Inspiring stories of authenticity at Neo4j

6 min read