# LLM App Personalized Memory

> This Streamlit app is an AI-powered chatbot that uses OpenAI's GPT-4o model with a persistent memory feature. It allows users to have conversations with the AI while maintaining context across multiple interactions.

- Source: https://doutorai.pt/en/apps/llm-app-personalized-memory
- Category: Apps with Memory
- Difficulty: Intermediate
- Models: OpenAI
- Frameworks: -
- Runs locally?: Needs cloud APIs
- Required keys: OPENAI_API_KEY
- License: Apache-2.0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

## Full tutorial

## 🧠 LLM App with Memory
This Streamlit app is an AI-powered chatbot that uses OpenAI's GPT-4o model with a persistent memory feature. It allows users to have conversations with the AI while maintaining context across multiple interactions.

### Features

- Utilizes OpenAI's GPT-4o model for generating responses
- Implements persistent memory using Mem0 and Qdrant vector store
- Allows users to view their conversation history
- Provides a user-friendly interface with Streamlit

### How to get Started?

1. Clone the GitHub repository
```bash
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory
```

2. Install the required dependencies:

```bash
pip install -r requirements.txt
```

3. Ensure Qdrant is running:
The app expects Qdrant to be running on localhost:6333. Adjust the configuration in the code if your setup is different.

```bash
docker pull qdrant/qdrant

docker run -p 6333:6333 -p 6334:6334 \
    -v $(pwd)/qdrant_storage:/qdrant/storage:z \
    qdrant/qdrant
```

4. Run the Streamlit App
```bash
streamlit run llm_app_memory.py
```

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/apps/llm-app-personalized-memory