## Milvus

Milvus is an open-source vector database that suits AI applications of every size, from running a demo chatbot in a Jupyter notebook to building web-scale search that serves billions of users.

### Usage

The TypeScript SDK loads the Milvus client lazily. Install it alongside `mem0ai` when you use this provider:

```
npm install @zilliz/milvus2-sdk-node
```

#### Python

```python
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"})
```

#### TypeScript

```typescript
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:

| 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`                     |