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Doc: Add config params for Memory() (#2193)

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Dev Khant
2025-02-05 12:44:41 +05:30
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docs/open-source/quickstart.mdx
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@@ -245,6 +245,106 @@ m.delete_all(user_id="alice")
m.reset() # Reset all memories m.reset() # Reset all memories
``` ```
## Configuration Parameters
Mem0 offers extensive configuration options to customize its behavior according to your needs. These configurations span across different components like vector stores, language models, embedders, and graph stores.
<AccordionGroup>
<Accordion title="Vector Store Configuration">
| Parameter | Description | Default |
|-------------|---------------------------------|-------------|
| `provider` | Vector store provider (e.g., "qdrant") | "qdrant" |
| `host` | Host address | "localhost" |
| `port` | Port number | 6333 |
</Accordion>
<Accordion title="LLM Configuration">
| Parameter | Description | Provider |
|-----------------------|-----------------------------------------------|-------------------|
| `provider` | LLM provider (e.g., "openai", "anthropic") | All |
| `model` | Model to use | All |
| `temperature` | Temperature of the model | All |
| `api_key` | API key to use | All |
| `max_tokens` | Tokens to generate | All |
| `top_p` | Probability threshold for nucleus sampling | All |
| `top_k` | Number of highest probability tokens to keep | All |
| `http_client_proxies` | Allow proxy server settings | AzureOpenAI |
| `models` | List of models | Openrouter |
| `route` | Routing strategy | Openrouter |
| `openrouter_base_url` | Base URL for Openrouter API | Openrouter |
| `site_url` | Site URL | Openrouter |
| `app_name` | Application name | Openrouter |
| `ollama_base_url` | Base URL for Ollama API | Ollama |
| `openai_base_url` | Base URL for OpenAI API | OpenAI |
| `azure_kwargs` | Azure LLM args for initialization | AzureOpenAI |
| `deepseek_base_url` | Base URL for DeepSeek API | DeepSeek |
</Accordion>
<Accordion title="Embedder Configuration">
| Parameter | Description | Default |
|-------------|---------------------------------|------------------------------|
| `provider` | Embedding provider | "openai" |
| `model` | Embedding model to use | "text-embedding-3-small" |
| `api_key` | API key for embedding service | None |
</Accordion>
<Accordion title="Graph Store Configuration">
| Parameter | Description | Default |
|-------------|---------------------------------|-------------|
| `provider` | Graph store provider (e.g., "neo4j") | "neo4j" |
| `url` | Connection URL | None |
| `username` | Authentication username | None |
| `password` | Authentication password | None |
</Accordion>
<Accordion title="General Configuration">
| Parameter | Description | Default |
|------------------|--------------------------------------|----------------------------|
| `history_db_path` | Path to the history database | "{mem0_dir}/history.db" |
| `version` | API version | "v1.0" |
| `custom_prompt` | Custom prompt for memory processing | None |
</Accordion>
<Accordion title="Complete Configuration Example">
```python
config = {
"vector_store": {
"provider": "qdrant",
"config": {
"host": "localhost",
"port": 6333
}
},
"llm": {
"provider": "openai",
"config": {
"api_key": "your-api-key",
"model": "gpt-4"
}
},
"embedder": {
"provider": "openai",
"config": {
"api_key": "your-api-key",
"model": "text-embedding-3-small"
}
},
"graph_store": {
"provider": "neo4j",
"config": {
"url": "neo4j+s://your-instance",
"username": "neo4j",
"password": "password"
}
},
"history_db_path": "/path/to/history.db",
"version": "v1.1",
"custom_prompt": "Optional custom prompt for memory processing"
}
```
</Accordion>
</AccordionGroup>
## Run Mem0 Locally ## Run Mem0 Locally
Please refer to the example [Mem0 with Ollama](../examples/mem0-with-ollama) to run Mem0 locally. Please refer to the example [Mem0 with Ollama](../examples/mem0-with-ollama) to run Mem0 locally.