mintlify[bot]
52 lines
1.9 KiB
Plaintext
52 lines
1.9 KiB
Plaintext
---
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title: "Chroma"
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description: "Use Chroma as a vector database in Mem0 for local or cloud-hosted vector storage with built-in embedding support."
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---
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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. It supports both local deployment and cloud hosting through ChromaDB Cloud.
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### Usage
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#### Local Installation
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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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# Optional: ChromaDB Cloud configuration
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# "api_key": "your-chroma-cloud-api-key",
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# "tenant": "your-chroma-cloud-tenant-id",
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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 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 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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| `api_key` | ChromaDB Cloud API key (for cloud usage) | `None` |
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| `tenant` | ChromaDB Cloud tenant ID (for cloud usage) | `None` | |