PDF reader app designed to revolutionise your learning experience!
🚀 Developed with features like:
- 📝 Annotation, note-taking, and collaboration tools
- 📚 Integrates with LLM for enhanced learning
- 💡 Generates flashcards with LLM feedback
Originally started as a hackathon project which I ended up winning 🥇! Uxie has since evolved with even more exciting features. I'd love for you to give Uxie a try and share your valuable feedback.
- Nextjs Frontend and Serverless api routes
- tRPC For typesafe apis
- Zod For validation
- Typescript For type safety
- Tailwind CSS For CSS
- React Query for data fetching, optimistic updates
- React Hook Form for form handling
- Shadcn UI + Radix UI For UI components
- Supabase As the database
- Prisma As the ORM
- Blocknote for note taking
- Uploadthing for storing pdfs
- Next Auth for authentication
- React-pdf-highlighter for pdf rendering,highlighting
- Vercel AI SDK, Langchain for AI responses and streaming, generating flashcards + evaluating them
- Pinecone DB for storing embeddings of pdfs
- Fireworks AI for LLM
- Huggingface Model for generating Embeddings
- Liveblocks for realtime collaboration
- Nuqs for type-safe search params
- Note taking, later download the note as markdown
- Summarise, ask questions about the PDFs
- Chat and collab with other (collaboration disabled for now-hit free tier limits :'(
- Custom blocks in editor
- highlights block which on click takes you to that highlight on the doc.
- AI-powered text autocompletion, and text enhancement
- PDF text-to-speech (English only)
- PDF ocr support (English only)
- Craft simple flashcards to test your knowledge, answer questions, and receive instant feedback through AI evaluation.
- throw proper errors while uploading files => even for large files ,it says max 1 file.
- add proper prompts for each item in custom/ai/popover.tsx
- display a x% done in /f, also scroll to that page on opening the file. add a go-to-page-numb option in bottom-toolbar => along with zoom, etc)
- ffs build a category system for documents => doesnt matter if ui is bad, just build it
- implement ratelimit using redis kv => checkout upstash
- add download flashcards in csv,anki format ( apkg format), also add dl notes in pdf format (html2pdf lib should work)
- better error,loading pages => abstract this logic to hook / component
- editor loads with empty data before the data is loaded.
- see if u can see all the users (also typing status for chat: refer) in the liveblocks room, (and display it at top)
- fix
.tippy-arrowappearing on screen at all times => added a temp fix. still appears when hovered over the pdf reader - abstract userIsOwner and userHasAccess (either collab or owner) logic. solution seems to be => create separate helper functions (take where, select, etc as params: use relevant prisma types to match each.)
- add multi-language support (works only for english now, atleast mention this somewhere ig)
- experiment with the voice (changing pitch, etc)
- add an onboarding flow for this? just explaining what it is and all
- some way to hide the bottom-toolbar (separate settings page or just drag to side?)
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profile how long pinecone takes for retrieval of embeddings, and maybe look into upstash embedding storage for this (or pgvector?)
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For area-highlight
- store it as base64 to the notes, then in the same addhighlighttonotes function upload it to uploadthing, and then update the url of the block in the notes. => would prob need to create a custom block for this, else there'd be a noticable lag. - add the yellow leftborder which takes to the image highlight on click -
use background runner or something and do long-polling
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store the content of text-highlight and make it available for search (from a cmd+k window, and maybe also from /f) => prob not useful for image-highlights
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see if the liveblocks stuff can be replaced w. sockets refer
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Run the seogets script
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send page number whenever tool-calling is used, then display it under the text. (which takes to that page on click)
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add bm25 along w vector embeddings? https://www.anthropic.com/news/contextual-retrieval#:~:text=BM25%20can%20succeed%20where%20semantic%20embeddings%20fail
- Create index => Dimensions = 768, Metric = Cosine
