Redis - Mem0
Documentation Index
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Redis
Redis is a scalable, real-time database that can store, search, and analyze vector data.
Installation
pip install redis redisvl
Redis Stack using Docker:
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)
messages = [\
{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},\
{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},\
{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},\
{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}\
]
m.add(messages, user_id="alice", metadata={"category": "movies"})
TypeScript
import { Memory } from 'mem0ai/oss';
const config = {
vectorStore: {
provider: 'redis',
config: {
collectionName: 'memories',
embeddingModelDims: 1536,
redisUrl: 'redis://localhost:6379',
username: 'your-redis-username',
password: 'your-redis-password',
},
},
};
const memory = new Memory(config);
const messages = [\
{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},\
{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},\
{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},\
{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}\
]
await memory.add(messages, { userId: "alice", metadata: { category: "movies" } });
Config
Let’s see the available parameters for the redis config:
- Python
- TypeScript
| 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 |
| Parameter | Description | Default Value |
|---|---|---|
collectionName |
The name of the collection to store the vectors | mem0 |
embeddingModelDims |
Dimensions of the embedding model | 1536 |
redisUrl |
The URL of the Redis server | None |
username |
Username for Redis connection | None |
password |
Password for Redis connection | None |