RAG

Does RAG make LLMs less safe?  Bloomberg research reveals hidden dangers

Ethically trained AI startup Pleias releases new small reasoning models optimized for RAG with built-in citations

Transforming Your PDFs for RAG with Open Source Using Docling, Milvus, and Feast

Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB

Beyond RAG: How Articul8’s supply chain models achieve 92% accuracy where general AI fails

Beyond RAG: SEARCH-R1 integrates search engines directly into reasoning models

Visa’s AI edge: How RAG-as-a-service and deep learning are strengthening security and speeding up data retrieval

Mayo Clinic's secret weapon against AI hallucinations: Reverse RAG in action

Evaluating modular RAG with reasoning models

Evaluating RAG for large scale codebases

DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same

Beyond RAG: How cache-augmented generation reduces latency, complexity for smaller workloads

LlamaIndex goes beyond RAG so agents can make complex decisions

Kotaemon: An open-source RAG-based tool for chatting with your documents

Cohere’s smallest, fastest R-series model excels at RAG, reasoning in 23 languages

Roaming RAG – Make the Model Find the Answers

Show HN: Chonkie – A Fast, Lightweight Text Chunking Library for RAG

Cohere adds vision to its RAG search capabilities

New technique makes RAG systems much better at retrieving the right documents

Voyage AI is building RAG tools to make AI hallucinate less