Redis

Use Redis as a real-time vector database in Mem0 for fast vector search using Redis Stack and redisvl.

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"})

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

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

TypeScript

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