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https://github.com/presizhai/rmp-ai-assistant
This project implements a RAG system for a Rate My Professor service, leveraging Pinecone for vector storage and OpenAI for text embeddings. It preprocesses professor reviews using SpaCy for cleaning and sentiment analysis, enabling the AI assistant to provide more nuanced recommendations and insights based on student queries.
https://github.com/presizhai/rmp-ai-assistant
generative-ai large-language-model natural-language-processing openai software-development software-engineering spacy
Last synced: 5 days ago
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This project implements a RAG system for a Rate My Professor service, leveraging Pinecone for vector storage and OpenAI for text embeddings. It preprocesses professor reviews using SpaCy for cleaning and sentiment analysis, enabling the AI assistant to provide more nuanced recommendations and insights based on student queries.
- Host: GitHub
- URL: https://github.com/presizhai/rmp-ai-assistant
- Owner: presiZHai
- Created: 2024-08-19T12:04:47.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-08-25T16:54:32.000Z (4 months ago)
- Last Synced: 2024-12-18T18:13:00.316Z (5 days ago)
- Topics: generative-ai, large-language-model, natural-language-processing, openai, software-development, software-engineering, spacy
- Language: Jupyter Notebook
- Homepage: https://rate-professors-assistant.vercel.app
- Size: 2.49 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
## Getting Started
First, run the development server:
```bash
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
```
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.
## Learn More
To learn more about Next.js, take a look at the following resources:
- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!
## Deploy on Vercel
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details.