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clarity-ai's Introduction

Clarity AI

Clarity is simple perplexity.ai clone. Use the code for whatever you like! :)

If you have any questions, feel free to reach out to me on Twitter.

Clarity AI

How It Works

Given a query, Clarity fetches relevant, up-to-date information from the web and uses OpenAI's API to generate an answer.

The app works as follows:

  1. Get query from user
  2. Scrape Google for relevant webpages
  3. Parse webpages for text
  4. Build prompt using query + webpage text
  5. Call OpenAI API to generate answer
  6. Stream answer back to user

Requirements

Get OpenAI API key here.

Running Locally

  1. Clone repo
git clone https://github.com/mckaywrigley/clarity-ai.git
  1. Install dependencies
npm i
  1. Run app
npm run dev

Improvement Ideas

Here are some ideas for how to improve Clarity:

  • Speed up answers by replacing link scraping with the Google Search API (scraping was used to circumvent cost + rate limits)
  • Add "follow up" searches
  • Improve the prompt
  • Get sources working in non text-davinci-003 models
  • Train your own model to use for answer synthesis

Credits

Shoutout to Perplexity AI for the inspiration. I highly recommend checking their product out.

This repo is meant to show people that you can build powerful apps like Perplexity even if you don't have a large, experienced team.

LLMs are amazing, and I hope Clarity inspires you to build something cool!

clarity-ai's People

Contributors

kledal avatar mckaywrigley avatar

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clarity-ai's Issues

Support for local LLM?

Hey! I was wondering whether there is any support for running this on a local LLM rather than relying on the OpenAI API.

Thank you!

Error when I tried to get an answer

Hello Clarity AI Team,

First of all, thank you for your work. It seems great. Unfortunately, I can't make it work as I have an error when I ask something.

When I put in my OpenAI API key and try to ask something I have on my VScode console the following error

[Error: OpenAI API returned an error]

On the application, I have a 'just Answer error'

And in my browser console, I have a 500 Internal Server Error on the POST request.

Could you help me about it? :)

Not working

we tried to implement this code... it is not working

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