GitHub - infiniflow/ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

RAGFlow: Revolutionizing Retrieval-Augmented Generation for AI

Knowledge graph retrieval-augmented generation (RAG): structured retrieval for AI agents

Meta Superintelligence Labs' First Paper Focuses on Retrieval-Augmented Generation (RAG)

Meta Superintelligence Labs' first published paper focuses on Retrieval-Augmented Generation (RAG) rather than expected model layer innovati

Production RAG Implementation: Lessons from Processing 13+ Million Documents

The author shares practical lessons learned from building production RAG (Retrieval-Augmented Generation) systems that processed over 13 mil

Vectorize Platform Releases New RAG Pipeline Features Including Hosted Chat Agent and Remote MCP Support

Vectorize, a data platform for retrieval augmented generation (RAG), has released new features including a fully hosted, no-code agentic cha

Technical Analysis of Local RAG Implementation: Tradeoffs Between Inference Speed and Retrieval Accuracy

The article discusses local RAG (Retrieval-Augmented Generation) implementation, focusing on model performance tradeoffs between inference s