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Refinari

Transform unstructured content into atomic, deduplicated knowledge.

You know the feeling? You read tons of articles, watch YouTube videos, dive into Reddit threads, take notes... and then you can't find anything. You know you read it somewhere, but where? Your knowledge is everywhere and nowhere at the same time. Refinari solves exactly this problem. You take any content, text, a Reddit post, a YouTube video, Obsidian notes, Notion pages, and drop it into the system. Refinari automatically extract transcripts and comments, and break everything down into small "atoms", standalone facts, ideas, or instructions, each linked to its source. If two atoms say the same thing, we merge them. If multiple sources confirm a fact, it gets higher credibility. The RAG system combines three research approaches. The first one, EcphoryRAG, is inspired by how the human brain recalls things. We extract key entities like people, companies, concepts and use them as "memory cues" for navigating your knowledge. The second one, ArgRAG, comes from argumentation theory. We track logical relationships between atoms, who supports whom, who contradicts whom, and this way we discover conflicts between facts. The third one, QBAF, calculates how reliable each atom is. Support raises the score, attacks lower it, and confirmations from many sources add a bonus. And finally DyG-RAG tracks how your knowledge changes over time and can answer questions like "How has my opinion on X changed?" or "When did I learn about Y?". In the end you just chat with your knowledge base. You ask whatever you need, the system understands what you want, finds the right atoms and gives you an answer with citations to the sources. Refinari turns everything you read and watch into a smart memory that thinks, discovers contradictions, and grows together with you.