Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, ...
Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.
Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...
Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth the cost.
Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, data, and processes interconnect A graph-based representation of ...
The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...
Mike Kimmel, known as the "Python Cowboy," leads guided hunts for invasive iguana and Burmese pythons. Invasive iguanas are a costly pest in Florida, damaging landscaping and burrowing into flood ...
Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...
Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls the “default knowledge layer” for agentic systems and generative artificial ...
SAN MATEO, Calif.–(BUSINESS WIRE)–Neo4j®, the world’s leading graph intelligence platform, today announced a $100 million investment to accelerate its position as the default knowledge layer for ...
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