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@@ -27,27 +27,31 @@ Use this repository as a reference when building out your own RAG application or
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## Tech Stack ⚒️
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- Frontend
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- React/Next.js
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- Tailwind CSS
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- [React](https://react.dev/) / [Next.js](https://nextjs.org/)
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- [Tailwind CSS](https://tailwindcss.com/)
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- Backend
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- FastAPI
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- Docker
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- SQLAlchemy
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- OpenAI
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- PGVector
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- LlamaIndex 🦙
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- [FastAPI](https://fastapi.tiangolo.com/)
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- [Docker](https://www.docker.com/)
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- [SQLAlchemy](https://www.sqlalchemy.org/)
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- [OpenAI](https://openai.com/) (gpt-3.5-turbo + text-embedding-ada-002)
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- [PGVector](https://github.com/pgvector/pgvector)
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- [LlamaIndex 🦙](https://www.llamaindex.ai/)
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- Infrastructure
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- Render.com
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- [Render.com](https://render.com/)
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- Backend hosting
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- Postgres 15
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- Vercel
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- [Postgres 15](https://www.postgresql.org/)
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- [Vercel](https://vercel.com/)
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- Frontend Hosting
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- AWS
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- Cloudfront
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- S3
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- [AWS](https://aws.amazon.com/)
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- [Cloudfront](https://aws.amazon.com/cloudfront/)
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- [S3](https://aws.amazon.com/s3/)
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## Usage 💻
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See `README.md` files in `frontend/` & `backend/` folders for individual setup instructions for each.
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## 💡 Contributing
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## Caveats 🧐
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- The frontend currently doesn't support Mobile
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- Our main goal with this project is to provide a solid foundation for full-stack RAG apps. There is still plenty of room for improvement in terms of RAG performance!
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## Contributing 💡
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We remain very open to contributions! We're looking forward to seeing the ideas and improvements the LlamaIndex community is able to provide.
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