[Redis](https://redis.io/) is a scalable, real-time database that can store, search, and analyze vector data.

### Installation
```bash
pip install redis redisvl
```

Redis Stack using Docker:
```bash
docker run -d --name redis-stack -p 6379:6379 -p 8001:8001 redis/redis-stack:latest
```

### Usage

```python
import os
from mem0 import Memory

os.environ["OPENAI_API_KEY"] = "sk-xx"

config = {
    "vector_store": {
        "provider": "redis",
        "config": {
            "collection_name": "mem0",
            "embedding_model_dims": 1536,
            "redis_url": "redis://localhost:6379"
        }
    },
    "version": "v1.1"
}

m = Memory.from_config(config)
m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category": "hobbies"})
```

### Config

Let's see the available parameters for the `redis` config:

| Parameter | Description | Default Value |
| --- | --- | --- |
| `collection_name` | The name of the collection to store the vectors | `mem0` |
| `embedding_model_dims` | Dimensions of the embedding model | `1536` |
| `redis_url` | The URL of the Redis server | `None` |