AI Search Assistant

This is a chatbot application powered by Vector Search + Text2SQL. It is built using the Vercel AI SDK and Retrieval-Augmented Generation (RAG). The chatbot is built using the following stack:

• Next.js 14 (App Router)
• Vercel AI SDK
• OpenAI
• Drizzle ORM
• Postgres with pgvector
• shadcn-ui and TailwindCSS for styling

Getting Started

1. Clone the repository:

git clone https://github.com/zarifaziz/fitness-center-rag-demo.git

2. Install dependencies:

cd ai-answer-engine
pnpm install

3. Start the development server:

pnpm run dev

4. Open http://localhost:3000 with your browser to see the chatbot in action

Features

• Retrieval-Augmented Generation (RAG): The chatbot uses the Vercel AI SDK's RAG guide to generate responses based on the information it has in its knowledge base.
• Vector Search: The chatbot uses pgvector to perform vector search on the knowledge base, allowing it to quickly find relevant information.
• Text2SQL: The chatbot uses the Text2SQL tool from the Vercel AI SDK to generate SQL queries based on user input, allowing it to retrieve information from the knowledge base.