Introducing Citai: the RAG engine I built across 6 articles — now free to try
Citai is a newly introduced knowledge engine that allows users to verify sources for answers. Built over six articles, it incorporates features like hybrid search and semantic caching. The engine is designed for various sectors, including education and healthcare, where citation is crucial.
- ▪Citai combines the concepts of citation and artificial intelligence to provide verifiable answers.
- ▪The engine processes documents and provides answers with exact references to the source material.
- ▪It includes features like a hybrid search pipeline, calibrated confidence scores, and an embeddable widget for easy integration.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1593262) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Martin Palopoli Posted on Apr 28 Introducing Citai: the RAG engine I built across 6 articles — now free to try #rag #ai #showdev #python Over the last 6 articles I shared how I built every piece of a production RAG engine: hybrid search, cross-encoder reranking, SSE streaming, multi-tenancy, semantic cache and language detection. Today I'm introducing the finished product: Citai (cite + AI) — a knowledge engine with verifiable citations that anyone can try for free at citai.ai.
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