AI Engineering

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Philosophy

 🔍RAG  Content type: Reference
docs.langchain.com·

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

 🔍RAG  Content type: Blog
towardsai.net·

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🔍RAG  Content type: Blog  Content type: Discussion
tildalice.io·

LLM Routing: From Strategy Selection to Production Architecture

 🧠LLMs  Content type: Blog
blog.n8n.io·

Flaws in the LLM Automation Narrative

 🧠LLMs  Content type: Academic
arxiv.org·

Using Scikit-LLM with Open-Source LLMs

 🧠LLMs

Ollama 0.30 GPU Boost: Faster local Qwen inference on NVIDIA

 🧠LLMs
everylocalai.com··DEV

Why LLMs (still) lack taste

 🧠LLMs

Agentic Frameworks

 🌐Distributed Systems  Content type: News  Content type: Blog

Report: Why developers use LLMs to write blog posts

 🧠LLMs  Content type: News  Content type: Blog

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

 🚀Inference  Content type: Code
github.com··Hacker News

LLM are universal simulators

 🧠LLMs

Improved performance and model support with GGUF

 🧠LLMs  Content type: Blog
ollama.com·

LLMs are not an acceptable high level language

 🧠LLMs
federicopereiro.com·

Slangify: The Case for DSLs in LLM Workflows

 🧠LLMs  Content type: Blog

Large companies can add a local LLM filter layer to considerably reducing their AI costs

 🧠LLMs

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

 🗄️Vector Databases  Content type: Discussion

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

 ☁️Cloud Infrastructure

Best explanations of how LLMs work

 🧠LLMs  Content type: Blog

How LLMs work | Practical Leaders

 🧠LLMs

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