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t6_mem0/docs/components/vectordbs/dbs/redis.mdx
2025-02-20 11:24:00 +05:30

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[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` |