aiengineering / log
AI Engineering
Notes from building production AI systems — retrieval, agents, speech, and the operational reality of shipping them, not just the demo.
2026-04
Building a Production ready Agentic RAG Pipeline: TF-IDF, HNSW, LSH, CAG, guardrails and More
**TL;DR** This post outlines a potentially effective approach to user queries by implementing a Agentic Retrieval-Augmented Generation (RAG) strate...
2026-03
Building a Production ready RAG Pipeline: TF-IDF, HNSW, LSH, CAG, guardrails and More
**TL;DR** This post outlines a potentially effective approach to user queries by implementing a Retrieval-Augmented Generation (RAG) strategy, and ...
2026-02
Developing powerful Agentic AI through GitHub Copilot’s custom agents.
In this post, we’ll explore what Copilot Custom Agents are, the problem they solve, and how you can automate multi-agent workflows using Python.
2025-01
AI Model Performance metrics
these metrics are important for model monitoring and improvement
2024-05
Unlock the power of offline speech recognition with the VOSK API!
TL;DR Vosk API Overview: A powerful, offline speech recognition framework for converting spoken language into text without needing an internet conn...
2024-05
Deploy a simple supervised machine learning algorithm in Azure as a function.
This post outlines the development of a supervised machine learning model using the DecisionTreeClassifier algorithm. We will cover training the mo...