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@ -40,6 +40,13 @@ You can deploy your own version of the Next.js AI Chatbot to Vercel with one cli
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?demo-title=Next.js+Chat&demo-description=A+full-featured%2C+hackable+Next.js+AI+chatbot+built+by+Vercel+Labs&demo-url=https%3A%2F%2Fchat.vercel.ai%2F&demo-image=%2F%2Fimages.ctfassets.net%2Fe5382hct74si%2F4aVPvWuTmBvzM5cEdRdqeW%2F4234f9baf160f68ffb385a43c3527645%2FCleanShot_2023-06-16_at_17.09.21.png&project-name=Next.js+Chat&repository-name=nextjs-chat&repository-url=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Fai-chatbot&from=templates&skippable-integrations=1&env=OPENAI_API_KEY%2CAUTH_GITHUB_ID%2CAUTH_GITHUB_SECRET&envDescription=How+to+get+these+env+vars&envLink=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&teamCreateStatus=hidden&stores=[{"type":"kv"}])
## Creating a KV Database Instance
Follow the steps outlined in the [quick start guide](https://vercel.com/docs/storage/vercel-kv/quickstart#create-a-kv-database) provided by Vercel. This guide will assist you in creating and configuring your KV database instance on Vercel, enabling your application to interact with it.
Remember to update your environment variables (`KV_URL`, `KV_REST_API_URL`, `KV_REST_API_TOKEN`, `KV_REST_API_READ_ONLY_TOKEN`) in the `.env` file with the appropriate credentials provided during the KV database setup.
## Running locally
You will need to use the environment variables [defined in `.env.example`](.env.example) to run Next.js AI Chatbot. It's recommended you use [Vercel Environment Variables](https://vercel.com/docs/concepts/projects/environment-variables) for this, but a `.env` file is all that is necessary.