AI Engineering

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

 🤖AI Agents  Content type: Blog
towardsai.net·

When Is It Actually a RAG Problem?

 📚RAG

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🤖AI Agents  Content type: Blog  Content type: Discussion
tildalice.io·

Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis

 📚RAG  Content type: Academic
arxiv.org·

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

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

Philosophy

 🔗LangChain  Content type: Reference
docs.langchain.com·

AI 101: From Prompt Engineering to Skill Engineering

 🛠️Prompt Engineering
turingpost.com·

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 🔧MLOps
zozo123.github.io··Hacker News

Quiz: Embeddings and Vector Databases With ChromaDB

 📚RAG
realpython.com·

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

 📚RAG  Content type: Video

How to Build an Agentic RAG with RubyLLM and Rails

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

LLM Observability: What To Instrument and How To Act on It

 📊Observability  Content type: Blog
blog.n8n.io·

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 🤖Transformers  Content type: Code
github.com··Hacker News

Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review

 🔧MLOps  Content type: Academic
arxiv.org·

Dynamic ReACT Loop with Conductor

 🤖AI Agents

New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"

 🔗LangChain

scottpurdy/llmbuffer: LLM conversation buffer with cache optimization and dynamic context.

 🛠️Prompt Engineering  Content type: Code

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

 📚RAG  Content type: Blog
elastic.co·

Location: Lubbock, TX, USA Remote: Yes (Remote-friendly, US-based) Technologies:...

 📊Observability  Content type: Discussion

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

 🔧MLOps  Content type: Discussion

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