RAG Classifications, Architectures: A Field Guide for Production-Grade Systems
If you've shipped a "chat with your docs" prototype in a weekend, congratulations — you've built Naive RAG . If you've then watched it hallucinate on …
Team Management
⚑ Report a ProblemLatest Team Management news from Tech News
All topics
Culture
agents
ai
api
architecture
automation
beginners
career
claude
devchallenge
devops
discuss
javascript
llm
machinelearning
mcp
opensource
productivity
programming
python
react
saas
security
showdev
softwareengineering
startup
testing
tutorial
typescript
webdev
Hardening an AI coding agent: the failures, and the code that fixed them
At Univoco we build retrieval-augmented assistants over a customer's own documentation. One of them is a coding agent that writes code for a proprieta…
The memory layer that never calls an LLM: what that buys, and what it costs
Part 4 of **The Answerability Problem , and the one that isn't about abstention. Parts 1–3 argued that the field measures the wrong half and that my o…
Data, Context & RAG Lineage Governance for Enterprise AI Agents
The RAG Security Gap Retrieval-Augmented Generation (RAG) has rapidly emerged as the foundational architecture for grounding enterprise AI agents in p…
From RAG to Agentic AI. How I Added LangGraph to My Local
In my previous article , I built a fully local RAG assistant Ollama, ChromaDB, LangChain, all running in Docker. It answered technical support questio…
Stop Stuffing Your LLM Agent's Context Window: Structured Memory Categories with Mem0
Stop Stuffing Your LLM Agent's Context Window: Structured Memory Categories with Mem0 Most tutorials on giving an LLM agent "memory" show you the same…
Your RAG Index Might Be Lying to You: Data Freshness Is the Missing Signal for AI Systems
A follow-up to How Old Is My Data? The failure mode that gets worse when a machine is reading the data In a classic dashboard, stale data is a human p…
Coverage Before Creativity: The RAG Gate That Keeps My Blog Pipeline Honest
The first failure I had to eliminate in the blog pipeline was not a bad paragraph. It was a bad evidence set. The system was finding a few nearby chun…
Building Dev-Code: An Agentic AI Coding Assistant With RAG Memory and VS Code Integration
I recently completed Dev-Code , an AI coding assistant project built around Agentic AI, RAG-style memory, and developer-tool integration. GitHub repo:…
Chat with Your Documents: Building a RAG Pipeline with AWS Blocks
One of the first features users expect from an AI application is deceptively simple: Upload a document. Ask questions. Get accurate answers. Whether y…
I open-sourced a macro execution layer to reduce coding-agent turns (60-task benchmark)
Disclosure: I maintain Tura. A coding agent often spends a separate model turn on each part of a routine workflow: inspect the environment, edit packa…
Retrieval-Augmented Self-Recall — Part 6: The Fine-Tune That Did Nothing, and Shipping It as an MCP Server
Part 6 (finale) of Retrieval-Augmented Self-Recall. Code: RE-call . Part 5: the gap threshold that didn't transfer . I fine-tuned the embedder on my o…
DoorDash RAG Architecture, AI Agent Mesh, & Open-Source Supply-Chain Scanner
DoorDash RAG Architecture, AI Agent Mesh, & Open-Source Supply-Chain Scanner Today's Highlights This week, we explore advanced AI agent orchestrat…
RAG Retrieval Gotchas at Scale: Insights and Solutions
RAG Retrieval Gotchas at Scale: Insights and Solutions Retrieval-Augmented Generation (RAG) has become a popular technique for enhancing natural langu…
When an LLM response fails validation, feed the error back into the retry
If you ask an LLM for structured output and validate it against a schema, you already know the failure mode: most of the time it is fine, and every so…
When the model is the marketing device: A Protobuf short story
Ask a current-generation AI assistant which Protobuf library to use in JavaScript, and you're about to get a confident recommendation. On the surface,…
Deploy AI agents in 5 lines of code.
TL;DR Build AI-agents in 5 lines of code. Skip the set up & infrastructure. Live and running. from custodian_labs import Custodian app = Custodian…
Evaluating Large Language Models: The Overfitting Problem
Introduction to Overfitting in LLM Evaluation We've all been there: you train a model, it performs exceptionally well on your test set, but when you d…
CAG: The Simpler Way to Ground Your LLM
If you've been building AI applications recently, you've probably come across Retrieval-Augmented Generation (RAG) . It has become the go-to way of gi…
Build a Simple RAG App with Telnyx AI Inference
RAG is one of those patterns that sounds more complicated than it has to be. At its core, retrieval-augmented generation is just: Store some documents…
MCP Is More Useful as Context Distribution Than as RPC
Most discussions around MCP focus on tool calling. That is natural. When people first see MCP, the obvious use case is simple: Let the AI call externa…
AI System Design Interview Questions: ChatGPT, RAG, LLM Inference, and Agents
System design interviews are changing. Traditional questions such as “Design Twitter,” “Design Uber,” and “Design YouTube” are still important. They t…
How to make an AI research agent label facts vs inferences — a deterministic provenance pipeline
Originally published on hexisteme notes , part of a series on building and running an AI agent fleet. To stop an AI research or RAG agent from present…
RAG Pipeline: The Uncle-Nephew Complete Learning Guide
How to Build Systems That Actually Know Your Data (Not Hallucinate About It) Introduction: The Story Begins 👦 Nephew: Uncle, I keep hearing "RAG this,…
Как научить языковую модель читать транзакции: превращаем историю платежей в базу знаний
Меня зовут Дмитрий Валов, я тимлид команды «Инструменты для банка (агенты)» в Sber AI Lab — Центре практического искусственного интеллекта Сбера. Боль…
Two Pre-Registered Benchmarks for Audit-Native RAG: RAB (EU AI Act 10/12/19) + LRB (Time-Travel Retrieval)
Most RAG demos answer "what's the right chunk?" Very few can answer the two questions a regulator or an auditor will actually ask: Replay this decisio…
AI Customer Service Chatbot with Demo Link
What I built A small business owner needed an automated customer support system that works 24/7, answering questions based only on their internal poli…
How to make AI answer questions about your documents, by building RAG from scratch
In the previous post , we talked about context windows. The model has a fixed-size desk and everything has to fit on it at once. When too much is on t…
Long-Term Memory for LLM Agents That Works
A support agent tells a customer their plan is still Enterprise, even though finance downgraded it last week. A coding copilot forgets a repo conventi…
The Context Compression Pattern
Pattern Defined Precise Definition: Context Compression is an inference pattern that utilizes a specialized "selector" model or a ranker to distill la…