Add configs to VectorDB docs (#1699)
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docs/components/vectordbs/dbs/chroma.mdx
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docs/components/vectordbs/dbs/chroma.mdx
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[Chroma](https://www.trychroma.com/) is an AI-native open-source vector database that simplifies building LLM apps by providing tools for storing, embedding, and searching embeddings with a focus on simplicity and speed.
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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": "chroma",
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"config": {
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"collection_name": "test",
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"path": "db",
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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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m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category": "hobbies"})
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```
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### Config
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Here are the parameters available for configuring Chroma:
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| Parameter | Description | Default Value |
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| --- | --- | --- |
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| `collection_name` | The name of the collection | `mem0` |
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| `client` | Custom client for Chroma | `None` |
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| `path` | Path for the Chroma database | `db` |
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| `host` | The host where the Chroma server is running | `None` |
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| `port` | The port where the Chroma server is running | `None` |
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