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⚡ AI Lessons

Medium · RAG
1h ago
Spring boot Ai(Retrieval Augmented Generation (RAG))
Introduction to Spring AI RAG Continue reading on Medium »

Medium · RAG
2h ago
Build a Production-Ready RAG Chatbot with Amazon Bedrock, Amazon Nova Lite & S3 Vectors (No CDK)
Learn how to build an enterprise-ready Retrieval-Augmented Generation (RAG) chatbot using Amazon Bedrock Knowledge Bases, Amazon Nova Lite… Continue reading on

Medium · RAG
4h ago
I Used Claude Haiku 4.5
A developer’s honest story about Anthropic’s cheapest model, an old repo full of technical debt, and a bill that surprised me in a good way Continue reading on

Medium · RAG
5h ago
GPT-5 for RAG Pipelines: Better Accuracy, Cheaper Tokens, Less Spark
Last week I moved one of our RAG evaluation sets onto a newer model and got the kind of result that is harder to explain than a clean win… Continue reading on M

Medium · RAG
🤖 AI Agents & Automation
⚡ AI Lesson
5h ago
How AI Agents Learned to Think: The Reinforcement-Learning Recipe Behind Agentic RAG and Deep…
For two years, the standard way to give a language model “search” was retrieval-augmented generation (RAG) wrapped in a hand-written agent… Continue reading on

Medium · RAG
📐 ML Fundamentals
⚡ AI Lesson
5h ago
Bir AI Engineer Mülakatına Girmeden Önce Bilmeniz Gereken 5 Temel Konu
Mülakatlarda sizden beklenen temel AI kavramları Continue reading on Medium »
Medium · RAG
6h ago
RAG vs. Knowledge Graphs: Why Enterprise AI Needs Both for Smarter Security Decisions
One challenge I repeatedly observed during customer onboarding and ownership mapping exercises was that the hardest questions weren’t… Continue reading on Mediu

Medium · RAG
8h ago
KV Cache: The Hidden Memory Behind Every LLM Response
Over the past few weeks, I’ve been trying to understand what actually happens inside a Large Language Model. Continue reading on Medium »
Medium · RAG
8h ago
Your AI Infrastructure Budget Will Be Wrong by 380%. Here Is How to Fix It.
60% of AI projects exceed their original cost estimates by 30% to 50%. At production scale, cost overruns average 380% over pilot budgets… Continue reading on M

Medium · RAG
11h ago
The Complete AI Roadmap for 2026: From Python Beginner to AI Builder
A practical, project-driven path to mastering machine learning, deep learning, generative AI, AI agents, MCP, Agent2Agent, and production… Continue reading on D
Medium · RAG
15h ago
What a 0.27 Precision Score Taught Me About RAG
That’s the context precision score my retriever earned on the evaluation set. On the standard rubric — where anything above 0.85 counts as… Continue reading on

Medium · RAG
🤖 AI Agents & Automation
⚡ AI Lesson
15h ago
Building an Autonomous Marketing OS: A Provider-Agnostic, Human-Gated Agent Pipeline for Production
How we architected a multi-agent system that runs marketing operations continuously — without locking into one LLM vendor, and without… Continue reading on Medi

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
16h ago
Enterprise RAG Isn’t Just About Retrieval
Retrieval-Augmented Generation (RAG) has rapidly become one of the most effective ways to build enterprise AI applications. By combining… Continue reading on Me

Medium · RAG
🤖 AI Agents & Automation
⚡ AI Lesson
16h ago
Shipping Agentic AI to Production: What Building Aura Taught Me About Orchestration, Tool Calls…
A Cloud Engineer’s field notes from turning a Gen AI demo into a system that writes to the real internet — and has to be trusted while… Continue reading on Medi
![RAG from Scratch [Part 3]: Chunking — The Decision That Makes or Breaks Your Retrieval](https://cdn-images-1.medium.com/max/1402/1*FsV0nwaQGlC-Ra14EgqdCw.png)
Medium · RAG
16h ago
RAG from Scratch [Part 3]: Chunking — The Decision That Makes or Breaks Your Retrieval
Series 3 of 5: Seven chunking strategies, a decision tree, and the parent-child pattern that most engineers discover too late. Continue reading on Towards AI »

Medium · RAG
17h ago
Retrieval-Augmented Generation (RAG) for Backend Engineers
Introduction Continue reading on Medium »

Medium · RAG
18h ago
Chunking Is the Most Underrated Decision in Your RAG Pipeline
I learned this the hard way across a few RAG projects: when retrieval goes bad, almost everyone reaches for the embedding model or the LLM… Continue reading on

Medium · RAG
20h ago
How We Taught an Investigation to Remember: Building Cold Case Connector with Cognee
Solving the “context amnesia” of siloed databases using hybrid graph-vector memory. Continue reading on Medium »

Medium · RAG
21h ago
Nexyn: The AI Memory Layer That Actually Thinks About What to Remember
Nexyn is an open-source cognitive memory middleware that wraps Cognee with a four-layer biomimetic filter scoring, decaying, and pruning… Continue reading on Me

Medium · RAG
21h ago
Beyond RAGAS: A Five-Layer Framework for Evaluating Production RAG Systems
Continue reading on Medium »

Medium · RAG
🧠 Large Language Models
⚡ AI Lesson
21h ago
Contextual Retrieval in Practice
What I learned building an AI Act chatbot Continue reading on Medium »

Medium · RAG
21h ago
What Is RAG (Retrieval-Augmented Generation)? Explained Like You’re Five
Not all ghosts are scary — some just need a good library card. Continue reading on CodeToDeploy »

Medium · RAG
21h ago
I Gave My AI a Memory. Here’s What Flat RAG Was Costing Me.
Upgrading Abra, my personal life OS, from keyword-matched context dumps to a Cognee knowledge graph, and why Graph RAG is the upgrade your… Continue reading on

Medium · RAG
22h ago
Understanding Modern AI Architecture: LLMs, RAG, AI Agents & MCP
AI development has moved past the days of simply prompting a model and hoping for the best. Today’s real-world AI systems are built as… Continue reading on Medi
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