Learn how to package and deploy the 14MB Needle 2 Local AI model using Docker. A complete guide for engineers building efficient, edge-ready LLM applications.
Benchmark deterministic Python vs LLM reasoning using Docker for reproducible runs. Learn test cases, logging, and reporting to catch hallucinations—try it now.
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…
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,…
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…