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This Week in Neo4j: Graph Architecture, GraphRAG, Integration, Cloud Security and more

Welcome to This Week in Neo4j, your fix for news from the world of graph databases! In this edition, we are celebrating Infinigraph – our…

Read MoreThis Week in Neo4j: Graph Architecture, GraphRAG, Integration, Cloud Security and more

Optimize Weakly Connected Component Projections

This article is intended for people using the Weakly Connected Components (WCC) algorithm from the Graph Data Science Neo4j library, whether you’re on-premises or in…

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Scalable Automation Starts Here: Meet Stagehand and MongoDB Atlas

While APIs deliver clean, structured data on a silver platter, the most valuable insights for AI applications often hide in the messy, unstructured corners of…

Read MoreScalable Automation Starts Here: Meet Stagehand and MongoDB Atlas

Circles Uses MongoDB to Fuel Jetpac’s Rapid Global Expansion

Founded in Singapore in 2014, Circles has grown to become a global telecommunication company revolutionizing the industry with its cutting-edge SaaS platform. Present in 14…

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Why Multi-Agent Systems Need Memory Engineering

Most multi-agent AI systems fail not because agents can’t communicate, but because they can’t remember. Production deployments have shown agents tend to duplicate work, operate…

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Creating a Neo4j Agentic Memory Multi-User Dungeon

Create a free graph database instance in Neo4j AuraDB Text-based adventure games started appearing in the 1970s for mainframe computers. Without graphical displays, they were a…

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What Is an AI Agent?

An AI agent is an application that uses GenAI models to think and act toward goals. It typically consists of a language model with instructions,…

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MongoDB Atlas Now Available in the Vercel Marketplace

We are pleased to announce that MongoDB Atlas is now available in the Vercel Marketplace. It’s now easier than ever to leverage MongoDB’s flexible document…

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Building a Scalable Document Processing Pipeline With LlamaParse, Confluent Cloud, and MongoDB

As organisations generate increasing volumes of data, extracting meaningful insights from unstructured documents has become a significant challenge. This blog presents an advanced architecture that…

Read MoreBuilding a Scalable Document Processing Pipeline With LlamaParse, Confluent Cloud, and MongoDB

Deploy CockroachDB on Kubernetes with the CockroachDB Operator

Trusted in production for years by the team at CockroachDB Cloud, the new CockroachDB Operator brings proven automation and operational best practices to your Kubernetes…

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Real-Time Materialized Views With MongoDB Atlas Stream Processing

For developers coming from a relational database background, the concept of a “join” is a fundamental part of the data model. But in a document…

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Use Weakly Connected Components to Avoid Cypher Query Crashing

This article will present a solution to avoid Cypher query crashing, thanks to the Graph Data Science plugin from Neo4j and, in particular, the use…

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How MongoDB Helps Your Brand Thrive in the Age of AI

The Zero Moment of Truth (ZMOT) was coined by Google to describe the moment when a user researches a product online before buying—typically through search,…

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Implementing Neo4j GraphRAG Retrievers as MCP Server

Expand your MCP toolbox with VectorCypher search and other GraphRAG retrievers The Model Context Protocol (MCP) is an open standard that defines how applications provide…

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Multi-Agentic Ticket-Based Complaint Resolution System

In the AI-first era of customer experiences, financial institutions face increasing pressure to deliver faster, smarter, and more cost-effective service, all while maintaining transparency and…

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