RAG

Stop graphing everything: When GraphRAG actually beats vector RAG

The cleanup trap: Stop asking RAG to fix bad data

Haystack: Open-Source AI Framework for Production Ready Agents, RAG

How we index images for RAG

Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits

The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

We replaced RAG with a virtual filesystem for our AI documentation assistant

Agents need vector search more than RAG ever did

Document poisoning in RAG systems: How attackers corrupt AI's sources

Databricks built a RAG agent it says can handle every kind of enterprise search

Show HN: Rust-powered document chunker for RAG – 40x faster, O(1) memory

'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

Enterprises are measuring the wrong part of RAG

Show HN: ShapedQL – A SQL engine for multi-stage ranking and RAG

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Show HN: Evidex – AI Clinical Search (RAG over PubMed/OpenAlex and SOAP Notes)

With 91% accuracy, open source Hindsight agentic memory provides 20/20 vision for AI agents stuck on failing RAG