[Redis]: Vector database added. (#2032)

This commit is contained in:
Mayank
2024-11-20 17:12:16 +05:30
committed by GitHub
parent 13374a12e9
commit 5ab09ffd5a
7 changed files with 311 additions and 1 deletions

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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"
}
}
}
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` |

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@@ -14,6 +14,7 @@ See the list of supported vector databases below.
<Card title="Pgvector" href="/components/vectordbs/dbs/pgvector"></Card>
<Card title="Milvus" href="/components/vectordbs/dbs/milvus"></Card>
<Card title="Azure AI Search" href="/components/vectordbs/dbs/azure_ai_search"></Card>
<Card title="Redis" href="/components/vectordbs/dbs/redis"></Card>
</CardGroup>
## Usage

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@@ -111,7 +111,8 @@
"components/vectordbs/dbs/chroma",
"components/vectordbs/dbs/pgvector",
"components/vectordbs/dbs/milvus",
"components/vectordbs/dbs/azure_ai_search"
"components/vectordbs/dbs/azure_ai_search",
"components/vectordbs/dbs/redis"
]
}
]