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MMaverickjyanshu.hashnode.dev6d ago · 14 min read

API vs MCP: Interoperability Trade-offs for AI Systems

The Core Question When building agentic AI systems, one of the earliest architectural decisions you'll face is: How do my agents and LLMs talk to the outside world — through REST APIs, or through MCP

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GGauravrgtrigger.hashnode.devAug 1 · 34 min read

Designing an Agentic AI Interview Preparation Agent: An Engineering Case Study

Introduction The final capstone assignment of the Agentic AI Professional Training Program was supposed to mark the end of the course. Instead, it became the project that changed how I think about bui

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RRoshansinghapps.hashnode.devJul 5 · 8 min read

From Context to Memory: Why the Next Generation of AI Needs to Remember

How trying to build a "smart" medical record system completely changed our view of artificial intelligence. A few months ago, we started building what we thought was a straightforward project: an AI s

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JGJames Gainesblog.gainesai.comApr 30 · 23 min read

Building Institutional Memory Into Your AI App: Capturing Unstructured Decision Data with Amazon Bedrock Knowledge Bases

Teams don’t lose data—they lose reasoning. A team selects Site 7. The system logs it. But six months later, no one remembers why. That missing “why” is where institutional knowledge actually lives. Th

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VVirajblog.virajpatwardhan.inFeb 18 · 2 min read

Retrieval-Augmented Generation (RAG) Explained: A Complete Guide

What is RAG? RAG stands for Retrieval-Augmented Generation. It's an AI architecture that combines information retrieval systems with generative AI models to produce more accurate, up-to-date, and contextually relevant responses. Simple Analogy: Think...

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MSManuela Schrittwieserneuralstackms.techJan 30 · 5 min read

How to Add AI Features to Your Existing App

Adding AI to an existing application is no longer a research problem; it is a product decision. With mature APIs, open-source models, and cloud tooling, teams can incrementally enhance apps with AI without rewriting their entire stack. This article p...

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ADAnkita Duttadatatech-insights.hashnode.devJan 9 · 1 min read

Why Adaptive AI Is Starting to Replace Static RAG

Retrieval-augmented generation solved an important problem: grounding AI in enterprise knowledge. But as environments become more dynamic, static retrieval is starting to show its limits. When knowledge changes daily systems that retrieve informa...

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VVaishnavigovidivenivici.comDec 14, 2025 · 4 min read

Reduce LLM Hallucinations and make it more grounded: Build Your First RAG System in Python (Beginner Friendly)

Why does ChatGPT sound confident even when it is wrong?More importantly, how do we fix that? In this blog, you will build your first Retrieval-Augmented Generation (RAG) system in Python, step by step, with real code and no machine learning backgroun...

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MAMisal Azeemcallstacktech.hashnode.devDec 13, 2025 · 12 min read

Rapid Prototyping with No-Code Tools: Build AI Voice Agents

Rapid Prototyping with No-Code Tools: Build AI Voice Agents TL;DR Most no-code voice agents break when they hit real conversation logic—conditional routing, dynamic data lookups, multi-step workflows. Here's how to build one that scales beyond "hello...

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NINitor Infotch Tech blogsragevaluations.hashnode.devNov 24, 2025 · 11 min read

LangFlow RAG Evaluations Made Practical: A Guide to LangFuse Implementation

The rise of Retrieval-augmented Generation (RAG) has changed how we build large language model (LLM) applications. Instead of relying solely on a model's internal knowledge, RAG allows you to plug in your own data source, such as knowledge bases, PDF...

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#retrieval-augmented-generation-rag

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Trending tags this week

API vs MCP: Interoperability Trade-offs for AI Systems

Designing an Agentic AI Interview Preparation Agent: An Engineering Case Study

From Context to Memory: Why the Next Generation of AI Needs to Remember

Building Institutional Memory Into Your AI App: Capturing Unstructured Decision Data with Amazon Bedrock Knowledge Bases

Retrieval-Augmented Generation (RAG) Explained: A Complete Guide

How to Add AI Features to Your Existing App

Why Adaptive AI Is Starting to Replace Static RAG

Reduce LLM Hallucinations and make it more grounded: Build Your First RAG System in Python (Beginner Friendly)

Rapid Prototyping with No-Code Tools: Build AI Voice Agents

LangFlow RAG Evaluations Made Practical: A Guide to LangFuse Implementation