AI/ML Resources

RAG at Scale: The Data Engineering Challenges

The data engineering challenges that go beyond the basic concept of RAG when running RAG systems at scale in production.

January 16, 2026

by Guru Hegde

· 2,639 Views · 1 Like

From RAG to RAG + RAV: A Practical Pipeline for Factual LLM Responses

RAG reduces hallucinations, RAV verifies each claim, and together they yield far more trustworthy LLM answers with optional corrections for accuracy.

January 16, 2026

by Sai Teja Erukude

· 4,305 Views · 3 Likes

From Chatbot to Agent: Implementing the ReAct Pattern in Python

This article provides a raw Python implementation, moving beyond high-level frameworks to show exactly how the agentic loop works under the hood.

January 16, 2026

by Nikita Kothari

· 2,766 Views · 2 Likes

Integrating CUDA-Q with Amazon Bedrock AgentCore: A Technical Deep Dive

This integration lets AI agents use GPU-accelerated quantum simulations as tools in their workflows. Learn more in this deep dive.

January 16, 2026

by Rakesh Kumar Pal

· 1,639 Views · 1 Like

RAG on Android Done Right: Local Vector Cache Plus Cloud Retrieval Architecture

Most mobile RAG fails on latency and flaky networks. A local vector cache + cloud retrieval architecture keeps responses fast, fresh, and grounded.

January 16, 2026

by Mohan Sankaran

· 1,822 Views · 5 Likes

Securing AI-Generated Code: Preventing Phantom APIs and Invisible Vulnerabilities

AI coding tools accelerate delivery but create new security blind spots. Learn how phantom APIs emerge — and what developers can do to catch them early.

January 15, 2026

by Igboanugo David Ugochukwu

CORE

· 2,185 Views · 1 Like

DevSecOps for MLOps: Securing the Full Machine Learning Lifecycle

Why ML systems are uniquely vulnerable to security attacks — and how MLSecOps closes the gaps in data, models, and pipelines.

January 15, 2026

by Igboanugo David Ugochukwu

CORE

· 2,127 Views · 2 Likes

From Aspects to Advisors: Design Modular Cross-Cutting Features with Spring AI

Understand how Spring AI Advisors work and see how Aspect Oriented Programming concepts can be applied when interacting with LLMs.

January 15, 2026

by Horatiu Dan

CORE

· 2,338 Views · 5 Likes

Taming Reinforcement Learning Chaos: An MLOps Architecture for Experiment Management

Reinforcement learning is powerful, but managing thousands of iterations is a nightmare. Here is a practical architecture for building a lightweight experiment system.

January 15, 2026

by Dippu Kumar Singh

· 1,345 Views · 1 Like

Real-Time Recommendation AI Architecture: Streaming Events and On-Device Ranking

This Android recommendation architecture streams events to the backend and uses on-device ranking to deliver fast, resilient, privacy-aware recommendations.

January 15, 2026

by Mohan Sankaran

· 1,202 Views · 6 Likes

9 Tips for Building Apps to Withstand AI-Driven Bot Attacks

Here are nine tips for app dev teams to strengthen app protections and frustrate AI-driven bot attacks, without harming user experience.

January 15, 2026

by Philip Piletic

CORE

· 1,613 Views · 1 Like

Assist, Automate, Avoid: How Agile Practitioners Stay Irreplaceable

Without a decision system, every task you delegate to AI is a gamble on your credibility and your place in your organization’s product model.

January 15, 2026

by Stefan Wolpers

CORE

· 1,662 Views · 1 Like

Your Product Doesn’t Need Another AI Feature; It Needs an AI Guardrail

Learn why adding AI isn’t always better and how guardrails ensure safe, trustworthy, and user-focused AI features in your products.

January 15, 2026

by Erioluwa Asiru

· 1,107 Views

What Actually Breaks When LLM Agents Hit Production — And How Amazon's Agent Core Fixes It

The future of LLM agents is not better reasoning — it's better engineering. This article explains why and how structured engineering turns agents into reliable systems.

January 14, 2026

by Haymang Ahuja

· 1,308 Views · 1 Like

Designing Chatbots for Multiple Use Cases: Intent Routing and Orchestration

Effective multi-use-case chatbots depend on strong intent routing, context-aware orchestration, tailored LLM parameters, and evaluation.

January 14, 2026

by Vinayak Prasad

· 4,564 Views · 1 Like

Reducing the Cost of Agentic AI: A Design-First Playbook for Scalable, Sustainable Systems

Explore how design-first architecture reduces the cost of Agentic AI by preventing unbounded reasoning and unnecessary agent execution.

January 14, 2026

by Devdas Gupta

· 1,479 Views · 1 Like

How to Secure a Spring AI MCP Server with an API Key via Spring Security

Discover how to protect your Spring AI MCP server with an API key, including clear instructions, sample code, and recommended security practices.

January 14, 2026

by Horatiu Dan

CORE

· 4,081 Views · 7 Likes

Integrating Retrieval-Augmented Generation (RAG) With Agentic AI: Harnessing Elasticsearch Vector Databases for Enterprise AI Systems

A practical overview of using retrieval-augmented generation and agentic AI with Elasticsearch to build reliable, enterprise-ready LLM systems.

January 14, 2026

by Devdas Gupta

· 2,744 Views · 2 Likes

Architecting a Production-Ready GenAI Service Desk

Building a GenAI chatbot for IT support is easy. Building one that actually solves tickets is hard. Here is a blueprint to boost resolution rates using GenAI.

January 13, 2026

by Dippu Kumar Singh

· 1,706 Views

Your Next Customer Is a Bot

E-commerce brands lose billions annually to cart abandonment, with over 70% of checkouts left unfinished. A new technology, Agentic AI, is here to solve this.

January 13, 2026

by Akash Lomas

· 1,503 Views · 1 Like

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