{"repo":"pinecone-io/vercel-chatbot-template","free":true,"listed":false,"github":"https://github.com/pinecone-io/vercel-chatbot-template","clone":"git clone https://github.com/pinecone-io/vercel-chatbot-template.git","description":"Next.js chatbot example backed by Pinecone and the OpenAI API, deployable to Vercel.","language":"TypeScript","stars":16,"topics":["chatbot","nextjs","openai","pinecone","rag","vector-database","vercel"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"AI Chat GPT-3 example This example shows how to implement a chat bot backed by Pinecone using Next.js, API Routes, and OpenAI ChatGPT API. Components - Next.js - OpenAI API (ChatGPT) - streaming - API Routes (Edge runtime) - streaming - Pinecone store How to Use You can choose from one of the following two methods to use this repository: One-Click Deploy Deploy the example using Vercel: Clone and Deploy Execute create-next-app with pnpm to bootstrap the example: Set up environment variables Rename .env.example to .env.local : Update OPENAI API KEY with your OpenAI secret key. Update PINECONE API KEY with your Pinecone secret key, and PINECONE ENVIRONMENT with your Pinecone environment name. Choose a PINECONE INDEX name for your index. If the index does not exist, it will be created automatically. Next, run Next.js in development mode: The app should be up and running at http://localhost:3000. Deploy it to the cloud with Vercel (Documentation).","default_branch":null,"files":null,"tree":[],"storefront":"/r/pinecone-io","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/pinecone-io/vercel-chatbot-template/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}