Real-Time Threat Detection With MongoDB & PuppyGraph
Security operations teams face an increasingly complex environment. Cloud-native applications, identity sprawl, and continuous infrastructure changes generate a flood of logs and events. From API…
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This Week in Neo4j: GraphRAG, GraphAcademy, Knowledge Graphs, Symfony and more
Welcome to This Week in Neo4j, your fix for news from the world of graph databases! This edition is a very GraphRAG one: it showcases…
New in MongoDB Atlas Stream Processing: External Function Support
Today we’re excited to introduce External Functions, a new capability in MongoDB Atlas Stream Processing that lets you invoke AWS Lambda, directly from your streaming…
Introducing Query Shape Insights in MongoDB Atlas
As modern applications scale, databases are often the first to show signs of stress, especially when query patterns shift or inefficiencies arise. MongoDB has invested…
Rapid Prototyping a Safe, Logless Reconfiguration Protocol for MongoDB with TLA+
MongoDB provides high availability and fault tolerance using replica sets, which are a group of database servers that operate a Raft-like consensus protocol. Each database…
Rapid Prototyping a Safe, Logless Reconfiguration Protocol for MongoDB with TLA+
MongoDB provides high availability and fault tolerance using replica sets, which are a group of database servers that operate a Raft-like consensus protocol. Each database…
Cypher Versioning
Learn how to balance the stability and evolution of graph querying with Cypher versions Introduction As of end of June 2025 (database release 2025.06), the Neo4j…
Build Event-Driven Apps Locally on MongoDB Atlas
Building event-driven architectures (EDAs) often poses challenges, particularly when you’re integrating complex cloud components with local development services. For developers, working directly from a local…
Build Event-Driven Apps Locally with MongoDB Atlas Stream Processing
Building event-driven architectures (EDAs) often poses challenges, particularly when you’re integrating complex cloud components with local development services. For developers, working directly from a local…
Data Modeling Strategies for Connected Vehicle Signal Data in MongoDB
Today’s connected vehicles generate massive amounts of data. According to an article from S&P Global Mobility, a single modern car produces nearly 25GB of data…
Data Modeling Strategies for Connected Vehicle Signal Data in MongoDB
Today’s connected vehicles generate massive amounts of data. According to an article from S&P Global Mobility, a single modern car produces nearly 25GB of data…
Introducing Text-to-MQL with LangChain: Query MongoDB using Natural Language
We’re excited to announce that we’ve added a powerful new capability to the MongoDB integration for LangChain: Text-to-MQL. This enhancement allows developers to easily transform…
Introducing Text-to-MQL with LangChain: Query MongoDB using Natural Language
We’re excited to announce that we’ve added a powerful new capability to the MongoDB integration for LangChain: Text-to-MQL. This enhancement allows developers to easily transform…
Agentic AI With Java and Neo4j
In my earlier GenAI blogs, we’ve looked at the basics of vector embeddings and vector search and how to apply it for GraphRAG. Now we’ll take…
Natural-Language Agents: MongoDB Text-to-MQL + LangChain
The text-to-MQL capability available in the LangChain MongoDB package converts natural language into MongoDB Query Language, enabling applications to process queries like, “Show me movies…