OpenTelemetry for Agentic IR: FalconClaw vs IR Tools
Compare NeuBird FalconClaw vs classic IR tools using OpenTelemetry. Learn what to automate now, control blast radius, and pilot safely—read the checklist.
Stop SQL Injection in 2026: Text-to-SQL + OPA
Stop SQL injection in text-to-SQL agents using Open Policy Agent (OPA): threat model, guardrails, MCP-style tools, and a security test plan. Read now.
Building a Full RAG Stack on Docker with Ollama, Open WebUI, Qdrant, and VectorAdmin
TL;DR (Executive Summary) This project implements a local, privacy-focused Retrieval-Augmented Generation (RAG) stack using Docker, combining Ollama (TinyLlama and nomic-embed-text), Open WebUI, Qdrant, and VectorAdmin. The system delivers end-to-end capabilities…
How Companies Are Using Generative AI Today: Real Use Cases and Adoption Stages (Part 2)
Generative AI is no longer limited to individual productivity tools. Many companies now use it to improve internal operations, enhance customer experiences, and reduce costs. While early adoption focused on…
What Is Generative AI? A Beginner-Friendly Guide to How GenAI Actually Works (Part 1)
Generative AI has quickly moved from research labs into everyday tools. It helps people write, learn, create, and work more efficiently. Still, many explanations remain overly technical or abstract. This…
Docker-based Model Runner for AWS CloudWatch Log Analysis
Concise Summary This project Convert plain-English questions into concise summaries over CloudWatch-style logs. Conversational CloudWatch converts natural-language questions into structured insights over CloudWatch-style logs. It runs locally or with LocalStack,…
Text-to-SQL Agent with Docker MCP and Model Runner | Smarter and Safer
A containerized approach to natural language database queries with built-in safety and auditability Author: Vishesh Sharma and Karan Singh Date: November 12th, 2025 Core The original Text-to-SQL setup worked but…
Text-to-SQL Service Agent with Docker and LLM model runner
A containerized approach to natural language database queries with built-in safety and auditability Author: Vishesh Sharma Date: October 27th, 2025 CORE IDEA This project shows how natural English questions can…
Docker Model Runner & LLMs for AI Keyword Extraction: A Reproducible Benchmark
Core Idea This project solves the challenge of comparing traditional NLP methods against modern LLMs by creating a fully containerized, one-command experiment using Docker Compose. Quantitative analysis of the results…
Running Local LLMs with Docker Model Runner: A Deep Dive with Full Observability and Sample Application
Introduction In this blog post, we’ll explore how developers and teams can speed up development, debugging, and performance analysis of AI-powered applications by running models locally—using tools like…