2-stage RAG system architecture. Contribute to kertser/2RAG development by creating an account on GitHub. Skip to content Navigation Menu Toggle navigation Sign in Product GitHub Copilot Write better ...

Use Tonic Validate to score your RAG and visualize experiments, and let everyone know what you’re building, which RAG system you used, and which parameters you tweaked to improve your scores on X ...

A Question-Answering system built with LangChain that uses Retrieval Augmented Generation (RAG) to provide accurate answers from PDF documents.

The RAG-check architecture uses two primary evaluation metrics: the Relevancy Score (RS) and Correctness Score (CS) to evaluate different aspects of RAG system performance. For evaluating selection ...

The Contextual AI Platform provides access to all three of the main components needed to build a RAG system, including the underlying LLM that responds to questions, a “retriever” module that ...

The new system, called RetroLLM, combines two previously separate steps - searching for information and writing text - into a single process. A team from Renmin University of China, Tsinghua ...

Built using ElevenLabs for voice synthesis, a Retrieval-Augmented Generation (RAG) system for intelligent data handling, and n8n for workflow automation, Eric is more than just a voice—he’s a ...

Old news is no good, so the system works hard to keep its info current. Whether through real-time updates or scheduled refreshes, RAG keeps its data sharp and relevant, so every response feels ...