top of page
Fishbowl Inventory and MySQL8 Upgrade Survival Guide
The latest version of Fishbowl Inventory Control software as of November 2025 is Fishbowl Advanced 25.9, which was released on September 16, 2025. This version includes major updates, such as simplified Java update processes in anticipation of the November 2025 Java 21 release, and ongoing compatibility improvements for MySQL 8.0 (database backend). Key Lessons and Gotchas If you've recently upgraded to the latest version of Fishbowl Inventory, you're not alone running into a
Nov 133 min read
Click-to-Care: How Agentic AI Helps You Support Your Local Food Pantry When It Matters Most
This pantry tag inspired a tech-powered way to help Right now, families are feeling the impact of the latest SNAP disruptions. Their safety net is gone, and many local food pantries are being pushed to the brink. The need isn’t abstract: it’s real, personal, and urgent. That door hanger from the Northborough Food Pantry caught my eye. It listed simple things: canned proteins, vegetables, snacks, broths. It was time-bound, so I decided to see what technology could do, starting
Nov 42 min read
Profiling similarity search databases to match use case criteria
The setup and benchmarking work described in this post were carried out by Raghu Shankar of Austin, TX, with consulting support from ADS . We welcome your questions or feedback; feel free to contact us . Performance profiling using cloud-native observability tools is vital for optimizing any database system. For cloud-native solutions like the Milvus Vector Database, this process is critical. As organizations increasingly depend on Generative AI and Retrival Augmented Gene
Nov 23 min read
Deploying Similarity Search simplified with databases and cloud native stacks
The setup and benchmarking work described in this post were carried out by Raghu Shankar of Austin, TX, with consulting support from ADS . We welcome your questions or feedback; feel free to contact us . Performance profiling using cloud-native observability tools is vital for optimizing any database system. For cloud-native solutions like the Milvus Vector Database, this process is critical. As organizations increasingly depend on Generative AI and Retrival Augmented Gene
Nov 24 min read
Breaking Bottlenecks: Actionable Performance Tuning for Milvus Workloads
The setup and benchmarking work described in this post were carried out by Raghu Shankar of Austin, TX, with consulting support from ADS . We welcome your questions or feedback; feel free to contact us . Performance profiling using cloud-native observability tools is vital for optimizing any database system. For cloud-native solutions like the Milvus Vector Database, this process is critical. As organizations increasingly depend on Generative AI and Retrival Augmented Gene
Nov 27 min read
Exploring Quantum-Enhanced Retrieval-Augmented Generation for Generative AI
Typical quantum computer laboratory setup with superconducting circuits and cryostat Remember, you heard this in an ADS blog in October 2025, much like when people heard about an abstract mathematical model now called the Turing Machine, in Alan Turing's paper in November, 1934. It occured to me after a chat with my neighbor who mentioned that he recently sold his stocks holdings in a quantum computing company, believing that AI and quantum stocks are in a bubble that might p
Oct 265 min read
Embracing AI for a Smarter Lifestyle: Essential Tools for Work, Play, and Everyday Living
This post is a collection of AI resources and tools that are discussed in my class. Click on the picture above for the AI generated song List of AI Tools This list is more exhaustive than the ones discussed in the presentation, and is by no means a complete list of tools out there. New tools are contantly being developed and this list as on November 2025. Here are the top 10 most useful AI tools (with a free tier) by popularity in 2025 , featuring Perplexity, Gamma, Noteboo
Oct 158 min read
5 Surprising Facts About the Vector Databases Powering Modern AI
Introduction: Beyond the Hype The current excitement around AI innovations like Retrieval-Augmented Generation (RAG) is undeniable. But behind the curtain, the vector databases that power these systems are far more complex and fascinating than most realize. This article reveals five surprising truths about how these critical engines of modern AI actually work. 1. They're Not Just for Chatbots: The Use Cases Are Much Broader While vector databases are famously used to enhance
Sep 304 min read
RAG: Your private detective and teacher in one
From Clues to Classrooms: Build a Document-Solving RAG Pipeline to transform unstructured chaos into structured insights using retrieval-augmented AI, while offline to prevent your data from going public. What if you could unleash the transformative power of artificial intelligence on your personal documents—instantly, securely, and entirely offline? Picture AI that not only understands your files but also retrieves and generates answers with precision, thanks to cutting-edg
Apr 296 min read
eBPF
The Superhero of Observability in Distributed Linux Environments AI's concept of eBPF If you haven't encountered eBPF yet, you're in for a treat – it's transforming how we monitor and optimize distributed systems. It's like the Swiss Army knife of the Linux kernel. Let’s dive into this game-changing technology that’s making observability in distributed Linux environments as easy as pie (or at least easier than debugging a Go application). The Evolution of eBPF: From Classic t
Feb 284 min read
bottom of page