From 861983531ab6d5929c8c3ce333b5e56794997777 Mon Sep 17 00:00:00 2001 From: Kenneth Steven jannette Date: Wed, 12 Aug 2026 12:09:12 +0000 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index ebd5eb1..d07a48b 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ -# Citation Sentinel © 2023 @sjDev +# Source Sentinel - 2023 @sjDev - LICENSE: MIT -![Citation Sentinel UI showing the source sidebar, chat answer with citations, and groundedness badge](demo.jpg) +![SOURCE Sentinel UI showing the source sidebar, chat answer with citations to the source, and groundedness badge](demo.jpg) Image one: source-grounded research assistant that empowers users to transform an otherwise-unmanageably-large corpus of data on any topic of interest into refined, easily-digested subtopics and pose focused inquiries, to instantly receive concise, quantifiably-evaluated, accurate responses. The system also provides suggested follow-up questions further refining in user inquiries by detecting the query goals. @@ -13,7 +13,7 @@ Image Two: demo co clickable inline citations that take user to source-grounded # Reliability and Understandability -Citation Sentinel's Retrieval-Augmented Generation (RAG) pipeline uses two-stage pass-through to Voyage AI embedding and ranking models, which uses cosine similarity methodology to scoring to evaluate query-source embeddings in multi-dimensional vector space. This yields a "groundedness" score. +Source Sentinel's Retrieval-Augmented Generation (RAG) pipeline uses two-stage pass-through to Voyage AI embedding and ranking models, which uses cosine similarity methodology to scoring to evaluate query-source embeddings in multi-dimensional vector space. This yields a "groundedness" score. Groundedness metrics quantify how well an AI-generated answer is supported by retrieved context. It measures "faithfulness" to source documents, ensuring the answer is not hallucinated, inaccurate or stale (pulled from the model's training data).