RAG

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LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 ✍️Prompt Engineering  Content type: Blog
towardsai.net·

SaqlainXoas/llm-system-patterns: A docs-first guide to LLM system design — hybrid search, embedding pipelines, reranking, and LLM-as-judge patterns.

 💻Software Engineering  Content type: Code

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

 ✍️Prompt Engineering  Content type: Blog
blogs.sas.com·

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

My Notes on the Progression from Context to Prompt to Harness engineering in making GPT LLMs Useful: (TUESDAY) MAMLMs

 ✍️Prompt Engineering  Content type: News  Content type: Blog

When Is It Actually a RAG Problem?

 ✍️Prompt Engineering

How to Build an Agentic RAG with RubyLLM and Rails

 ✍️Prompt Engineering  Content type: Blog
panasiti.me··Hacker News

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

 🤖AI Engineering  Content type: Discussion

RAG Pipeline Explained: From Query to Answer, Step by Step

 🤖AI Engineering  Content type: Blog
medium.com
·

Quiz: Embeddings and Vector Databases With ChromaDB

 🗄️Vector Databases
realpython.com·

MongoDB as a Vector Database for AI Agents-MongoDB

 🤖AI Engineering
foojay.io·

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

 🤖AI Engineering
buy.polar.sh··DEV

Larger context windows and configurable reasoning levels for GitHub Copilot - GitHub Changelog

 🛡️AI Safety  Content type: Blog
github.blog··Hacker News

LLM are universal simulators

 🧠Language Models
Less-relevant results

Initial impressions of Claude Fable 5

 🧠LLMs
simonwillison.net··Hacker News

Comprehensive evaluation of LLM capabilities for interpretation and analysis of genome-scale metabolic models in metabolic engineering

 🧠LLMs  Content type: Academic
biorxiv.org·

How LLMs work | Practical Leaders

 🧠LLMs

How to Defend Against Prompt Injection in Production

 ✍️Prompt Engineering  Content type: Reference
leanpub.com··DEV

What Are AI Hallucinations? And How To Improve Accuracy in Pipelines

 ✍️Prompt Engineering  Content type: Blog
blog.n8n.io·

ICYMI: Inside the Microsoft Agent Framework: How we designed a layered SDK

 ✍️Prompt Engineering  Content type: Blog
devblogs.microsoft.com·

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