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Complete stack RAG driven document intelligence assistant developed using FastAPI and React. Features multi-format ingestion support (PDF, DOCX, and scanned images through EasyOCR), with FAISS vector indexing, and 6 LLM driven modes operating on Groq’s Llama 3.3 70B model. Dockerized application via GitHub actions CI pipeline for automatic linting and build validation with sub-2 second response time in local tests. FAISS is chosen over Pinecone for quick in-memory computation without relying on cloud infrastructure, while Groq is selected over other options for quicker and cheaper inference than GPT-4 alternatives.
How do you persist the FAISS index across Docker restarts?
The network for creativity
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Meet Zupa, an AI tool that helps you write LinkedIn and social media posts that actually sound like you.
Most people know they should post more. The hard part is sitting down and turning a rough idea into something worth reading. Zupa takes that idea and shapes it into a post built around what makes people stop scrolling and engage.
It's made for founders, marketers, agencies, and anyone building a personal brand who doesn't have hours to spend writing.
Here's a quick look at what we've built 👇
We're opening early access now, and it's free to try. If you want a look, check out https://www.zupapost.ai/
Honest feedback is welcome too. That's how we'll make it better.
Really like the idea of using psychology to help people rewrite their posts! The UI feels thoughtful and fits the concept really well. It’s a focused tool I could see being useful in everyday writing, especially for making posts more engaging. How long did it take you to go from the initial idea to the finished website?
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