Corpus - Harvest excerpts from your corpus (without AI flattening)

LLMs notoriously struggle with citing sources and tend to flatten when they mix sources and provide general summaries. There's a better way for simply recalling your own corpus. With Corpus, you can upload files within projects and search for excerpts. The search matches semantically, making it more powerful than typical searches but more focused than LLMs.

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Hey there! One day, I found myself testing the assumption that using LLMs for everything is inherently better. In fact, I didn't want AI to steer my thinking by provided answers that synthesize its general knowledge and my context. I want to maintain control over the curation of digital artifacts and my own intelligence. With all the noise about LLMs, people forget that search capabilities has dramatically improved. There are contemporary advancements that can improve your learning workflows without robbing your intelligence of its autonomy. That's why I built Corpus. Corpus is a powerful semantic search on top of digital files that you explicitly upload and organize. If you're a writer that wants to quickly find where you've written about something before, a student studying for an exam, or a researcher looking to easily find direct, relevant passages, then Corpus is meant for you.