Lower-Cost Vector Retrieval with Voyage AI’s Model Options
Vector search is often the first step in retrieval augmented generation (RAG) systems. In a previous post, we discussed the future of AI-powered search at…
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Neo4j MCP Server: Your ADHD-Friendly House-Moving Assistant
When Your Brain Has 47 Tabs Open Picture this: You’re standing in your living room, surrounded by boxes labeled “Kitchen stuff” and “Books” because apparently, the…
How Tavily Uses MongoDB to Enhance Agentic Workflows
As AI agents grow in popularity and are used in increasingly mission-critical ways, preventing hallucinations and giving agents up-to-date context is more important than ever.…
Why I’m Replacing My RAG-Based Chatbot With Agents
“The rumors of RAG’s demise have been greatly exaggerated.” That was the response from Alexy Khrabrov, Neo4j’s eyes and ears on the ground in San…
How Graph-Powered Supply Chain Improves Sustainability
Managing a modern supply chain requires more than tracking parts and shipments in a linear fashion. It demands real-time visibility into how changes in one…
Automotive Document Intelligence with MongoDB Atlas Search
Picture two scenarios happening simultaneously across the automotive industry: In a service bay, a technician searches frantically through multiple systems for the correct procedure to…
This Week in Neo4j: MCP, GraphRAG, Knowledge Graph, Temporal Graph and more
Welcome to This Week in Neo4j, your fix for news from the world of graph databases! We are very excited about our latest book, Essential…
Exploring Neo4j Spatial: Path Intersections Using AIS Data
Introduction In the first two parts of this series — Installation, Data Loading, and Simple Querying and Layer Management, Spatial Filtering, and Intersection — we’ve looked at the…
Unleashing the Power of Schema: What’s New in the neo4j-graphrag Python Package
Imagine effortlessly turning your unstructured data into rich knowledge graphs and querying them with natural language. Over the past year, GraphRAG applications have gotten a…
How to Convert Unstructured Text to Knowledge Graphs Using LLMs
Unstructured text is everywhere — emails, PDFs, internal documents, webpages — and it’s full of insights that are hard to access without structure. If you’re…
How to Build a GenAI Chatbot From Technical Documents Using Neo4j and Unstructured.io
A common challenge when building GenAI applications for technical audiences is providing accurate responses that also contain relevant unstructured information, such as charts, diagrams, and…
People Who Ship: From Prototype to Production
Welcome to People Who Ship! In this video and blog series, we’ll be bringing you behind-the-scenes stories and hard-won insights from developers building and shipping…
Fine-tune MongoDB Deployments with AppMap’s AI Tools and Diagrams
In a rapidly changing landscape, organizations that adapt for growth, efficiency, and competitiveness will be best positioned to succeed. Central to this effort is the…
Exploring Neo4j Spatial: Layer Management, Spatial Filtering, and Intersection
Introduction The common division of responsibility between graph databases and GIS platforms limits the ability to exploit the full power of graph databases and graph…
For high availability & low latency: Architect a globally distributed eCommerce system
eCommerce is a broad domain, but at a basic level it encompasses any business that primarily buys or sells goods or services over the internet.…