AI Engineering

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LangChain agents tutorial: build a multi-step workflow in Python

 💬LLMs  Content type: Blog
udacity.com·

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

 ⚙️DevOps  Content type: Discussion

How to Build a Deterministic RAG Testing Tool — and Use LLM as an Advisor, Not a Judge

 💬LLMs  Content type: Blog
medium.com
·

The real cost of DIY RAG infrastructure

 Best Practices  Content type: Blog
medium.com
·

Audio-first, deep-dive RAG Masterclass on YT it's called "Master RAG while you sleep"

 💬LLMs  Content type: Video

Hashtag Jakarta EE #336

 Java
agilejava.eu·

milvuslite-kit configuration over code for vector search and rag workflows

 💬LLMs  Content type: Blog
elanthirayan.medium.com··DEV

AI 101: From Prompt Engineering to Skill Engineering

 💬LLMs
turingpost.com·

RAG 101: Through a Builder’s Lens — Part1

 📐Design Patterns  Content type: Blog
medium.com
·

Suno Extend Breaks Most Prompts : Learn How to Write Ones That Survive It

 💬LLMs  Content type: Blog

Building a Retrieval-Augmented Generation (RAG) System for Flutter Documentation Q&A

 💬LLMs  Content type: Blog
medium.com
·

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

 💬LLMs

X-MADAM-RAG: Diagnosing and Handling Chinese-English Evidence Conflict in Retrieval-Augmented Generation

 💬LLMs  Content type: Academic
arxiv.org·

langchain-ai/langchain langchain-core==1.4.6

 🦀Rust  Content type: Code
github.com
·

Prompt Caching Explained: The AI Concept That Can Save Millions of Tokens

 💬LLMs  Content type: Blog

Day 23 of becoming an AI developer: How AI Systems Are Actually Designed in Production

 📐Design Patterns  Content type: Blog
medium.com
·

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

 💬LLMs  Content type: Blog
blogs.sas.com·

I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.

 ⚙️DevOps
saintlex.sbs··DEV

Ask HN: What will be the next big memory management system for AI Agents?

 🧠Claude  Content type: Discussion

PixelRAG beats text parsers on accuracy and cuts AI agent token costs 10x

 💬LLMs
venturebeat.com·

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