AI. The hot topic that you can possibly miss while visiting any type of technology news or a startup pitch. The name “AI“ weights so much that even Amazon needs to incorporate it into their self-checkout store. The only catch is that the technology they are using is “Actually Indians“ instead of “Artificial Intelligence“.

So what is the AI that can elevate note-taking software to a new dimension? Large Language Model (LLM) is the answer. This technology started out as just a text completion engine. However, with a few sprinkles of instructions-tuning, they became a flexible that can answer questions, summarize texts, or write a blog for you in any styles. You can basically ask it any question and it can come up or gaslight you with an answer. But how is this hallucination model can helps you and all your messy notes?

Retrieval Augmented Generation (RAG) come to rescue. In simple terms, RAG allow the model to have a memory books to answer questions or generate text with evidences from the memory. Now, the LLM truly becomes an useful tools for recalling your notes and generate texts from it.

A few current websites and applications that support this solution are Unriddle, Mem, JotBot, and Notion. They all offer great features for improving the user’s workflow to find and modify their documents, especially Notion and Unriddle, when they implement so many applicable tools like collaborations, graphs, and visualization.

Nevertheless, a RAG system on top of a document stores sounds inadequate, doesn’t it. What if you want to my notes to do more than just information retrieval? What if you want to quit my boring text editors like Microsoft Word or Google Docs and start my creative process right on my notes-taking app seamlessly? What if you want to make a graphs to have a deep understanding of my researches or brainstorms?

Fortunate for you, we have developed rag.page to solve these exact problems, offering a solution to bring the user experience to the next level whenever they want to jot some ideas for their next big novels or the storyboards for the next blockbusters. Creative endeavors is what we values the most in our vision for building this next-level note-taking app.

Delving into the architecture of rag.page, we utilize Cards and Maps as the main component to organize your creative note. A Map is simply a collection of Cards but it can be more than that by how we let you bring a canvas to a note-taking apps to express your ideas in diagrams.

What else does rag.page offers? A little secret for you for why the subscription plan for these AI note-taking apps are so expensive. They are store in vector storages that are expensive to manage and also a little bit slower in comparison to a local search. Aware of this pain point, we decided to manage you notes locally with a cheaper costs, faster response, and also more secured. The only time we may upload your data to the cloud is when you need some kind of collaboration features but we not all your notes, just the selected one.