This is a testbed for experimenting with searching and synthesizing data, using different combinations of the following:
- foundation models / large language models, like OpenAI's GPT models and a number of other domain-specific models
- datasets for searching over and feeding select results to the model
- search algorithms, methods for deciding what to pick from the dataset
- natural language prompts, to describe to the models what they're doing
This is based on the NextJS project template, and I haven't changed that much of the functionality.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying pages/index.tsx
. The page auto-updates as you edit the file.
API routes can be accessed on http://localhost:3000/api/hello. This endpoint can be edited in pages/api/hello.ts
.
The pages/api
directory is mapped to /api/*
. Files in this directory are treated as API routes instead of React pages.
This project uses next/font
to automatically optimize and load Inter, a custom Google Font.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.