TRENDING

◆Reimagining the mouse pointer for the AI era ◆Amazon employees are "tokenmaxxing" due to pressure to use AI tools ◆Show HN: Statewright – Visual state machines that make AI agents reliable ◆GM just laid off IT workers to hire those with stronger AI skills ◆I let AI build a tool to help me figure out what was waking me up at night ◆Students Boo Commencement Speaker After She Calls AI Next Industrial Revolution ◆What a Japanese cooking principle taught me about overcoming AI fatigue ◆I work in Hollywood. Everyone who used to make TV is now training AI ◆An AI coding agent, used to write code, needs to reduce your maintenance costs ◆PS3 Emulator Devs Politely Ask That People Stop Flooding It with AI PRs ◆Reimagining the mouse pointer for the AI era ◆Amazon employees are "tokenmaxxing" due to pressure to use AI tools ◆Show HN: Statewright – Visual state machines that make AI agents reliable ◆GM just laid off IT workers to hire those with stronger AI skills ◆I let AI build a tool to help me figure out what was waking me up at night ◆Students Boo Commencement Speaker After She Calls AI Next Industrial Revolution ◆What a Japanese cooking principle taught me about overcoming AI fatigue ◆I work in Hollywood. Everyone who used to make TV is now training AI ◆An AI coding agent, used to write code, needs to reduce your maintenance costs ◆PS3 Emulator Devs Politely Ask That People Stop Flooding It with AI PRs

Home›RAG

RAG

Retrieval-Augmented Generation (RAG) connects LLMs to external knowledge sources at inference time, enabling accurate, up-to-date answers without retraining. A core pattern in production AI systems.

4 articles

Hybrid Search and Re-Ranking in Production RAG

Towards Data Science· 1 min read· Yesterday

Hybrid Search and Re-Ranking in Production RAG

When semantic search isn't enough for the RAG The post Hybrid Search and Re-Ranking in Production RAG appeared first on Towards Data Science ....

Summary Read →

RAG Is Blind to Time — I Built a Temporal Layer to Fix It in Production

Towards Data Science· 1 min read· 4 days ago

RAG Is Blind to Time — I Built a Temporal Layer to Fix It in Production

Three weeks into testing, a learner told me my AI tutor gave her the wrong answer. Not obviously wrong — just outdated enough to mislead. That was the moment I realized something most RAG systems quietly ignore: they have no sense of time. My system retrieved the most similar document, not the most ...

Summary Read →

Agentic RAG Explained in 3 Levels of Difficulty

Machine Learning Mastery· 1 min read· May 4, 2026

Agentic RAG Explained in 3 Levels of Difficulty

Traditional <a href="https://aws....

Summary Read →

Effective KV Compression with TurboQuant

Machine Learning Mastery· 1 min read· Apr 30, 2026

Effective KV Compression with TurboQuant

TurboQuant has recently been launched by Google as a novel algorithmic suite and library for applying advanced quantization and compression to large language models (LLMs) and vector search engines — an indispensable element of RAG systems....

Summary Read →