Intellect Design Accelerates Modernization by 200% with MongoDB and Gen AI
It’s difficult to overstate the importance of modernization in the age of AI. Because organizations everywhere rely on software to connect with customers and run…
Read MoreIntellect Design Accelerates Modernization by 200% with MongoDB and Gen AI
Intellect Design Accelerates Modernization by 200% with MongoDB and Gen AI
It’s difficult to overstate the importance of modernization in the age of AI. Because organizations everywhere rely on software to connect with customers and run…
Explore the Neo4j Data Modeling MCP Server
Enhance your graph data modeling workflow Introduction In this blog, I’ll discuss the benefits of the Model Context Protocol (MCP), what the Neo4j Data Modeling MCP…
Boost Search Relevance with MongoDB Atlas’ Native Hybrid Search
We’re excited to introduce a native hybrid search experience that seamlessly combines the power of MongoDB Atlas’ native text search and vector search capabilities. Now…
RoachFest 2025: Real-world resilience from Bengaluru to Las Vegas
Following an electrifying first event in London, RoachFest heads to two more global innovation hubs: Bengaluru and Las Vegas. Each event offers a unique lens…
Neo4j Certification: What’s the Value?
Master the knowledge graph behind GenAI and certify your skills Before I joined Neo4j and the world of B2B developer relations, I spent years in the…
Dynamic Term-Based Boosting in MongoDB Atlas Search
Search relevance is the bedrock of any modern user experience. While MongoDB Atlas Search offers a fantastic out-of-the-box relevance model with BM25, its standard approach…
MongoDB Atlas CLI: Full API Coverage and Faster Updates
We’re thrilled to announce that starting today, you can access every feature in the MongoDB Atlas Administration API from the MongoDB Atlas CLI. This significant…
MongoDB and deepset Pave the Way for Effortless AI App Creation
Building robust AI-powered applications has often been a complex, resource-intensive process. It typically demands deep technical and domain expertise, significant development effort, and a long…
Vector Search Meets Distributed SQL: A New Blueprint for AI-Ready Data
If you’re building AI features into your applications, you’re probably arriving at the same crossroads as everyone else: “Do I add another database to my…
Spring Data MongoDB: Now with Vector Search and Queryable Encryption
MongoDB is pleased to announce new enhancements to the Spring Data MongoDB library with the release of version 4.5.0, increasing capabilities related to vector search,…
Teach & Learn: Professor Margaret Menzin, Simmons University
MongoDB’s Teach & Learn blog series interviews students and educators worldwide who are using MongoDB to enhance their classrooms. These stories highlight how MongoDB’s platform…
Real-Time Indexing for Billions of Vectors: How we built fast, fresh vector indexing at scale in CockroachDB
Read on to learn how we combined recent academic research with practical engineering to solve the semantic search problem at massive scale, with fresh, real-time…
This Week in Neo4j: Certification, Developer Tools, GraphRAG, Knowledge Graphs and more
Welcome to This Week in Neo4j, your fix for news from the world of graph databases! We are continuing our Certification Month with Community Activities…
How to Improve Multi-Hop Reasoning with Knowledge Graphs and LLMs
Retrieval-augmented generation (RAG) applications excel at answering simple questions by integrating data from external sources into LLMs. But they struggle with multi-part questions that require…