mem0/docs/examples/api_server.mdx

---
title: '🌍 API Server'
---

The API Server based on Flask integrates the `embedchain` package, offering endpoints to add, query, and chat to engage in conversations with a chatbot using JSON requests.

### 🐳 Docker Setup

- Open variables.env, and edit it to add your 🔑 `OPENAI_API_KEY`.
- To setup your api server using docker, run the following command inside this folder using your terminal.

```bash
docker-compose up --build
```

📝 Note: The build command might take a while to install all the packages depending on your system resources.

### 🚀 Usage Instructions

- Your api server is running on [http://localhost:5000/](http://localhost:5000/)
- To use the api server, make an api call to the endpoints `/add`, `/query` and `/chat` using the json formats discussed below.
- To add data sources to the bot (/add):
```json
// Request
{
  "data_type": "your_data_type_here",
  "url_or_text": "your_url_or_text_here"
}

// Response
{
  "data": "Added data_type: url_or_text"
}
```
- To ask queries from the bot (/query):
```json
// Request
{
  "question": "your_question_here"
}

// Response
{
  "data": "your_answer_here"
}
```
- To chat with the bot (/chat):
```json
// Request
{
  "question": "your_question_here"
}

// Response
{
  "data": "your_answer_here"
}
```

### 📡 Curl Call Formats

- To add data sources to the bot (/add):
```bash
curl -X POST \
     -H "Content-Type: application/json" \
     -d '{
         "data_type": "your_data_type_here",
         "url_or_text": "your_url_or_text_here"
     }' \
     http://localhost:5000/add
```
- To ask queries from the bot (/query):
```bash
curl -X POST \
     -H "Content-Type: application/json" \
     -d '{
         "question": "your_question_here"
     }' \
     http://localhost:5000/query
```
- To chat with the bot (/chat):
```bash
curl -X POST \
     -H "Content-Type: application/json" \
     -d '{
         "question": "your_question_here"
     }' \
     http://localhost:5000/chat
```

🎉 Happy Chatting! 🎉