---
title: "MongoDB"
description: "Use MongoDB as a vector database in Mem0 with built-in vector search for high-dimensional similarity queries."
---
# MongoDB

[MongoDB](https://www.mongodb.com/) is a versatile document database that supports vector search capabilities, allowing for efficient high-dimensional similarity searches over large datasets with robust scalability and performance.

## Usage

```python
import os
from mem0 import Memory

os.environ["OPENAI_API_KEY"] = "sk-xx"

config = {
    "vector_store": {
        "provider": "mongodb",
        "config": {
            "db_name": "mem0-db",
            "collection_name": "mem0-collection",
            "mongo_uri":"mongodb://username:password@localhost:27017"
        }
    }
}

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"})
```

## Config

Here are the parameters available for configuring MongoDB:

| Parameter | Description | Default Value |
| --- | --- | --- |
| db_name | Name of the MongoDB database | `"mem0_db"` |
| collection_name | Name of the MongoDB collection | `"mem0_collection"` |
| embedding_model_dims | Dimensions of the embedding vectors | `1536` |
| mongo_uri | The MongoDB URI connection string | `mongodb://username:password@localhost:27017` |

> **Note**: If `mongo_uri` is not provided, it will default to `mongodb://username:password@localhost:27017`.
