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A big day for us – IKI 2.0 goes live on Product Hunt now

Since our first launch 9 months ago, we’ve reimagined IKI as an LLM-native space for professional knowledge, gained thousands of paying customers, polished and scaled the platform, and now are happy to invite you to IKI 2.0.

There is a nice discount to celebrate the launch - check out on PH

Our mission has not changed though - we’re here to equip knowledge workers with the best LLM-powered digital library—a true second brain, period.

And we’ve done a lot to materialize this vision - in IKI 2.0 you will enjoy:

URLs, PDFs, YouTube, txt, docx, md, images & notes support Spaces to collaborate with your teammates OS-like navigation with a hierarchy, drag & drop and multi-select SOTA reasoning LLMs, including Claude 3.7 Sonnet, o3-mini, and Grok-2 Cutting-edge web search powered by Perplexity Sonar Smart editor to write with IKI assistant Deep comparative analysis & reasoning over collections – shipping this month! Cloud integrations with Google Drive, Notion, Dropbox, and Obsidian are coming soon

Happy to have you among our early adopters, and stay tuned – more things are coming this spring!


[Search + LLMs] aka RAG is the new interface to information, capable of transforming it according to a query.

Agentic RAG can proactively collect missing pieces and iterate till a task is completed.

All your knowledge, especially professional, should be united by a semantic layer of one app.

That's why we started bootstrapping http://iki.ai with my co-founder Max Orlov and our indie team. Seeing that this vision resonates with our audience is pretty empowering.

Product vision video: https://youtu.be/-VL1bp1kyD8?si=AzrmR9kQoQ9DRs7V The app is live at https://app.iki.ai You are welcome to try it!


My recent medium post on advanced RAG went kinda viral, but I'd like to see if there are some new techniques or setups to check out. Link to my medium post https://pub.towardsai.net/advanced-rag-techniques-an-illustr...


Found the crashing library screen bug for a new user - fixing now. Sad thing but it happens. Thank you for pointing it out!


Thank you for the feedback, full text is semantic (you search inside vector space of full text chunks, not by title). The library page has never crashed before, could you please explain what do you mean by crashing? It might take a couple of seconds to load your content. There is a switcher to search inside your library.


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