This article explains how to build an IT AI insight engine that connects operational signals like tickets and incidents into a governed context layer for better decisions.
Explains hybrid AI assistant architecture, comparing NLU, RAG, deterministic flows, and LLMs for enterprise use.
A guide to designing production-ready RAG knowledge bases, covering metadata, chunking, security, and lifecycle management.
A decision framework for IT teams to identify enterprise RAG use cases that survive production, focusing on governed, narrow applications over broad chatbots.
Article on testing AI chatbots, including prompt injection, permissions, and bypassing guardrails using influence techniques.
Building a Slack bot that answers Confluence questions using Amazon Bedrock Knowledge Base and RAG pipeline.
Explains why policy-as-code, not RAG, is the key to secure enterprise AI by embedding authorization into query engines.
Explains how to design governed RAG systems using data products, separating retrieval and governance for accurate, policy-compliant AI responses.
A guide comparing vector stores like pgvector, Milvus, Weaviate, and LanceDB for retrieval workloads, focusing on index types and tradeoffs.
Guide to building a GraphRAG application using Spring AI Advisors, covering the advisor API and integration with Neo4j for book recommendations.
Explores building AI agents using RAG, tool calling, and memory, with practical insights from a key paper and Anthropic's SDK.
Explains grounding in LLMs: connecting them to reliable data for accurate, context-aware responses using techniques like RAG and fine-tuning.
A critique of an AI shopping assistant's failure to answer a product question, highlighting the superiority of simple keyword search over retrieval-based AI.
Announcing a talk at Adriatics Tech Summit 2026 on implementing RAG with Microsoft.Extensions.VectorData in .NET.
A guide comparing strategies for providing context to AI models in workflows, analyzing tradeoffs in cost, latency, and observability.
A developer shares his experience using an Elgato Prompter for video content and creating a custom 3D-printed iPhone 17 Pro backplate for it.
A technical guide on deploying the KAITO RAG Engine for AI-powered retrieval-augmented generation on Azure Kubernetes Service (AKS).
Author begins a blog series on learning Azure AI for certification, covering services like OpenAI, RAG, and Generative AI with practical .NET examples.
Explains how to use the KAITO RAG Engine on Azure Kubernetes Service to build a Retrieval-Augmented Generation (RAG) system for querying private documents with LLMs.
A developer's experience building a RAG app using Google Antigravity AI coding assistant, Gemini 3 Pro, Angular, and Spring AI.
