+MongoDB Vector Support (#2367)
Co-authored-by: Divya Gupta <divya.gupta@mongodb.com>
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docs/components/vectordbs/dbs/mongodb.mdx
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49
docs/components/vectordbs/dbs/mongodb.mdx
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# MongoDB
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[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.
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## Usage
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```python
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import os
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from mem0 import Memory
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os.environ["OPENAI_API_KEY"] = "sk-xx"
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config = {
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"vector_store": {
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"provider": "mongodb",
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"config": {
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"db_name": "mem0-db",
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"collection_name": "mem0-collection",
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"user": "my-user",
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"password": "my-password",
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}
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}
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}
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m = Memory.from_config(config)
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messages = [
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{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
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{"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
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{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
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{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
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]
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m.add(messages, user_id="alice", metadata={"category": "movies"})
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```
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## Config
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Here are the parameters available for configuring MongoDB:
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| Parameter | Description | Default Value |
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| --- | --- | --- |
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| db_name | Name of the MongoDB database | `"mem0_db"` |
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| collection_name | Name of the MongoDB collection | `"mem0_collection"` |
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| embedding_model_dims | Dimensions of the embedding vectors | `1536` |
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| user | MongoDB user for authentication | `None` |
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| password | Password for the MongoDB user | `None` |
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| host | MongoDB host | `"localhost"` |
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| port | MongoDB port | `27017` |
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> **Note**: `user` and `password` must either be provided together or omitted together.
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@@ -23,6 +23,7 @@ See the list of supported vector databases below.
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<Card title="Upstash Vector" href="/components/vectordbs/dbs/upstash-vector"></Card>
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<Card title="Milvus" href="/components/vectordbs/dbs/milvus"></Card>
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<Card title="Pinecone" href="/components/vectordbs/dbs/pinecone"></Card>
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<Card title="MongoDB" href="/components/vectordbs/dbs/mongodb"></Card>
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<Card title="Azure" href="/components/vectordbs/dbs/azure"></Card>
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<Card title="Redis" href="/components/vectordbs/dbs/redis"></Card>
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<Card title="Elasticsearch" href="/components/vectordbs/dbs/elasticsearch"></Card>
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