While building a database tool for a membership management SaaS, I implemented the join processing for the query builder using in-memory Python instead of SQL. The reason is simple: as long as we ...

Every team building AI agents eventually runs into the same wall. The model can reason, plan, and write fluent responses — but the moment it needs to touch a real system (a database, a file store, a ...

a laptop screen with a webpage of the IT Army of Ukraine group of volunteer hackers. The IT Army of Ukraine first set up in the wake of Russia's devastating attack, and has since hugely grown in ...

In this tutorial, we build a fully offline Graphify workflow that turns a realistic multi-module Python application into a knowledge graph. We start by installing Graphify and supporting graph ...

I’m Adam Conway, an Irish technology fanatic with a BSc in Computer Science and I'm XDA’s Lead Technical Editor. My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional ...

If you work with AI APIs and local LLMs, there's a good chance you've at least heard of LiteLLM. It's one of the most popular Python libraries for interacting with large language models, offering a ...

When you type a query into a search engine, something has to decide which documents are actually relevant — and how to rank them. BM25 (Best Matching 25), the algorithm powering search engines like ...

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to production using low-code and autogeneration tools. Let’s dive in. You may be ...

Last month, a friend called me in a panic. His company had deployed an AI agent that helped customers query their account data. Worked great in demos. Passed QA. Everyone was happy. Then someone typed ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...