Core AI
RAG & Vector Search
Retrieval-augmented generation, vector databases, embeddings and semantic search
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Medium · LLM
🔍 RAG & Vector Search
⚡ AI Lesson
7h ago
How RAG Actually Works — and the Five Stages Tutorials Skip
What actually happens between a PDF on a disk and a grounded answer — every stage, with the settings from a system that runs. Continue reading on Medium »

Medium · NLP
🔍 RAG & Vector Search
⚡ AI Lesson
8h ago
RAG Sistemlerinde Hibrit Arama: Neden Sadece Semantic Search Yetmiyor?
Geçtiğimiz aylarda Microsoft’ta bir yapay zekâ stajı yaptım. Görevim, Microsoft Foundry Local kullanarak, modeller yerel önbelleğe… Continue reading on Medium »

Medium · Data Science
🔍 RAG & Vector Search
⚡ AI Lesson
11h ago
Top 30 Databricks RAG Interview Questions and Answers — 2026
What is Retrieval-Augmented Generation, or RAG? RAG is an architecture that enhances an LLM by retrieving relevant information from an… Continue reading on Medi
Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
13h ago
Building a Grounded RAG from Scratch: A working journal
A Working Journal — Part 1 of 7 Continue reading on Medium »
Medium · LLM
🔍 RAG & Vector Search
⚡ AI Lesson
13h ago
Your RAG Worked Perfectly in Production. 3 Months Later, Accuracy Suddenly Dropped.
Your RAG worked perfectly in production. Continue reading on Medium »
Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
13h ago
Your RAG Worked Perfectly in Production. 3 Months Later, Accuracy Suddenly Dropped.
Your RAG worked perfectly in production. Continue reading on Medium »

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
17h ago
Rethinking RAG Fusion: More Context Is Not More Evidence
Why combining SQL, vector, and graph retrieval requires an evidence layer Continue reading on AI Advances Briefs »

Medium · AI
🔍 RAG & Vector Search
⚡ AI Lesson
19h ago
A RAG chatbot on your company knowledge base: what it is and when it pays off
The request I hear most often this year sounds the same every time: “We want a bot that answers from our documents and does not make… Continue reading on Medium

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
19h ago
A RAG chatbot on your company knowledge base: what it is and when it pays off
The request I hear most often this year sounds the same every time: “We want a bot that answers from our documents and does not make… Continue reading on Medium

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
3d ago
How would you know if your RAG system was wrong?
Building Claim Decoder: 972 policy clauses, five classes of silent data corruption, and why the page number is the whole product. Continue reading on Medium »

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
3d ago
Weaviate Agent Skills: Stop Building RAG From Scratch
A practical guide to the official cookbooks, code, and full-stack blueprints that give AI coding assistants better Weaviate context. Continue reading on Medium

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
3d ago
RAG Is Not Your Decision Engine: Where Retrieval Actually Belongs in Enterprise AI
How I structure RAG with OpenSearch, LangGraph, Bedrock and Clean Architecture without letting retrieved context become business logic. Continue reading on Medi

Medium · AI
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
Beyond Similarity Search: Metadata Filtering for RAG with Amazon S3 Vectors
Semantic search is one of the most useful parts of RAG. A user does not need to ask a question using the exact same words that appear in a… Continue reading on

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
Beyond Similarity Search: Metadata Filtering for RAG with Amazon S3 Vectors
Semantic search is one of the most useful parts of RAG. A user does not need to ask a question using the exact same words that appear in a… Continue reading on

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
The RAG Failure That Looks Like Success
I built a retrieval-augmented Q&A system over my college’s documents — 412 files, 17,693 indexed passages, ten departments. Syllabi, fee… Continue reading on Me

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
The RAG rebuild nobody budgeted for
A custom retrieval stack runs 670 to 1070 engineering hours, going by Aimprosoft’s own build-versus-buy comparison, which puts it between… Continue reading on M

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
RAG in Production
Retrieval-augmented generation is four lines of code in a notebook and a different discipline entirely once real documents, real users and… Continue reading on

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
What I Learned Building an AI Chatbot for a Workflow Management System
When I started working on the chatbot for our DocFlow project, I thought the idea was fairly simple. Continue reading on Medium »

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
Beyond Linear RAG: Declarative Routing in Docling Pipelines
How to split and merge PyArrow streams using BranchingOperator and MergeOperator for non-uniform document corpora. Continue reading on Medium »
Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
MCP, RAG, and AI Agents Walk Into a Test Suite: The Buzzword Breakdown Every QA Engineer Needs
Three terms are flooding your LinkedIn feed right now. Here’s the story of how they’re different, why they’re not competing, and how they… Continue reading on M

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
4d ago
Building an AI-Powered Fantasy Premier League Assistant: A Journey Through RAG, Agents, and Real…
How a genuine FPL squad-selection headache turned into a hands-on crash course in retrieval-augmented generation, agentic tool-calling… Continue reading on Medi
ArXiv cs.AI
🔍 RAG & Vector Search
📄 Paper
⚡ AI Lesson
4d ago
In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning
arXiv:2609.09243v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) grounds a language model in retrieved documents, which reduces hallucinat
ArXiv cs.AI
🔍 RAG & Vector Search
📄 Paper
⚡ AI Lesson
4d ago
Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?
arXiv:2609.09768v1 Announce Type: cross Abstract: In Retrieval-Augmented Generation (RAG) systems, a large number of retrieved chunks are concatenated to form t

KDnuggets
🔍 RAG & Vector Search
⚡ AI Lesson
5d ago
From RAG to Agentic AI: Building the Next Generation of Intelligent Enterprise Systems
Over the past several years, I have worked through three successive generations of intelligent retrieval systems, each solving problems the previous generation
Medium · Python
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
Building a Vision-Based RAG Pipeline: What I Learned From a 17%→43% Retrieval Improvement
My ColPali RAG pipeline outperforms a general RAG system in a specific but important way. Unlike typical text RAG, which breaks documents… Continue reading on M
Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
Building a Vision-Based RAG Pipeline: What I Learned From a 17%→43% Retrieval Improvement
My ColPali RAG pipeline outperforms a general RAG system in a specific but important way. Unlike typical text RAG, which breaks documents… Continue reading on M

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
Beyond Basic RAG: Building a Production-Style Legal Research Assistant (Part-I)
How I used the Constitution of India to explore parent–child chunking, hybrid retrieval, reranking, and evaluation Continue reading on Medium »

Medium · Programming
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
A RAG Pipeline Built with 4 Agents
How I rebuilt my retrieval system from a static fetch-and-stuff pipeline into a four-agent reasoning loop that actually answers the… Continue reading on Medium

Medium · Machine Learning
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
Can We Really Trust a Retrieved Chunk?
Thoughts on RAG Knowledge Base Poisoning and Provenance-Based Verification Continue reading on Medium »

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
How to Calculate the ROI of an Enterprise RAG Implementation
A practical framework for measuring RAG costs, productivity gains, token consumption, and real business value Continue reading on Starling Elevate IT Solution »

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
Chunking Beyond the Demo: How Document Structure Shapes a Production RAG Pipeline
When most people first build a RAG system, chunking looks like an afterthought: pick a chunk size, pick an overlap, move on to embeddings… Continue reading on M

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
PART I — RAG IN FIVE MINUTES
RAG in Practice: What It Is, Why It Matters, and What Breaks in Retrieval Continue reading on Medium »

Medium · AI
🔍 RAG & Vector Search
⚡ AI Lesson
1w ago
When Does Graph RAG Actually Add Value? A Hands-On Experiment
I built four AI retrieval architectures on a laptop and benchmarked them against the same set of documents and questions. Here’s what the… Continue reading on M
Towards Data Science
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
FAQ as RAG: When You Get to Design the Corpus
Enterprise Document Intelligence [Vol.1 #B2] - The FAQ inverts every brick of the standard RAG pipeline. Parsing is trivial, retrieval doubles as a cache, and f

Dev.to · Ayi NEDJIMI
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
How to Implement Retrieval-Augmented Generation (RAG) with Re-Ranking
Basic RAG retrieves the top-k documents and passes them all to the language model. The problem: those...

Medium · Machine Learning
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
Building a Multilingual RAG Pipeline
Most write-ups only show the finished, working version of a project. This one is different — it’s about everything that broke first, and… Continue reading on Me

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
How to Scaffold a RAG Application from Scratch?
Before I Build a RAG App, I Scaffold It First Continue reading on Medium »

Medium · Machine Learning
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
Building a Production-Ready Enterprise RAG Platform
From Naive Retrieval to Self-Correcting AI Continue reading on Medium »

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
RAG is for Answering, OKF is for Doing: Structuring Memory for AI Employees
Standard vector search breaks down when agents try to execute workflows. Here is why Google’s Open Knowledge Format (OKF) is the missing… Continue reading on Me
Reddit r/MachineLearning
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
Open-source access-control checker for retrieval-based AI applications [P]
Hey Guys, I built a small open-source tool that checks whether a RAG application retrieves documents a user shouldn’t have access to. It supports offline test c

Medium · LLM
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
Building RAG from the Corpus Up, Not the Model Down
Part 3: What grounded generation taught me about evidence, citations, abstention, and evaluation Continue reading on Medium »

Medium · Machine Learning
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
A Practical Guide to RAG Evaluation
A RAG system must be evaluated at three layers — retrieval, generation, and end‑to‑end performance — because each layer can fail… Continue reading on Medium »

Medium · Programming
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
8 Python Tools for Building Better RAG Applications
The right components can make your AI pipeline easier to build, test, and maintain. Continue reading on Python in Plain English »

Medium · Machine Learning
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
Naive RAG Is Running Out of Road in Enterprise Search — And Longer Context Windows Won’t Save It
The vector database can be healthy, the retriever can return exactly what you asked for, and the answer can still be dangerously wrong. Continue reading on Medi
Dev.to AI
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
How to Build a Production-Grade RAG Agent with Hybrid Search in 30 Minutes
Most Retrieval-Augmented Generation (RAG) tutorials stop at a naive vector lookup: embed text with OpenAI, store it in Pinecone or Chroma, and perform cosine si

Medium · Machine Learning
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
Three RAG Best Practices That Didn’t Earn Their Keep
What 750 test questions said about query rewriting, agentic retrieval, and bigger candidate pools. Continue reading on Medium »

Medium · Python
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
Three RAG Best Practices That Didn’t Earn Their Keep
What 750 test questions said about query rewriting, agentic retrieval, and bigger candidate pools. Continue reading on Medium »

Medium · RAG
🔍 RAG & Vector Search
⚡ AI Lesson
2w ago
The SKU Test: Why Weaviate Is the Best Vector Database for E-Commerce Product Q&A RAG
A product assistant must understand what shoppers mean, match exactly what they name, enforce catalog constraints, and keep every store’s… Continue reading on M
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