Usage
The TypeScript SDK loads the Milvus client lazily. Install it alongsidemem0ai when you use this provider:
npm install @zilliz/milvus2-sdk-node
import os
from mem0 import Memory
config = {
"vector_store": {
"provider": "milvus",
"config": {
"collection_name": "test",
"embedding_model_dims": 1536,
"url": "127.0.0.1",
"token": "8e4b8ca8cf2c67",
"db_name": "my_database",
}
}
}
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: 'milvus',
config: {
collectionName: 'test',
embeddingModelDims: 1536,
url: 'http://localhost:19530',
token: '8e4b8ca8cf2c67',
dbName: 'my_database',
},
},
};
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
Here are the parameters available for configuring Milvus:- Python
- TypeScript
| Parameter | Description | Default Value |
|---|---|---|
url | Full URL/Uri for Milvus/Zilliz server | http://localhost:19530 |
token | Token for Zilliz server / for local setup defaults to None. | None |
collection_name | The name of the collection | mem0 |
embedding_model_dims | Dimensions of the embedding model | 1536 |
metric_type | Metric type for similarity search | L2 |
db_name | Name of the database | "" |
| Parameter | Description | Default Value |
|---|---|---|
url | Full URL/Uri for Milvus/Zilliz server | http://localhost:19530 |
token | Token for Zilliz Cloud (optional for a local setup) | undefined |
collectionName | The name of the collection | mem0 |
embeddingModelDims | Dimensions of the embedding model | 1536 |
metricType | Metric type for similarity search (L2, IP, COSINE, HAMMING, JACCARD) | L2 |
dbName | Name of the database | undefined |