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git clone gitlawb://did:key:z6Mkq5mY...iFZ5/my-project-publ...git clone gitlawb://did:key:z6Mkq5mY.../my-project-publ...2fa351d6docs: add automaton and perps launch sources16d ago| #1 | --- |
| #2 | title: Overview |
| #3 | --- |
| #4 | |
| #5 | Mem0 offers support for various embedding models, allowing users to choose the one that best suits their needs. |
| #6 | |
| #7 | ## Supported Embedders |
| #8 | |
| #9 | See the list of supported embedders below. |
| #10 | |
| #11 | <Note> |
| #12 | The following embedders are supported in the Python implementation. The TypeScript implementation currently only supports OpenAI. |
| #13 | </Note> |
| #14 | |
| #15 | <CardGroup cols={4}> |
| #16 | <Card title="OpenAI" href="/components/embedders/models/openai"></Card> |
| #17 | <Card title="Azure OpenAI" href="/components/embedders/models/azure_openai"></Card> |
| #18 | <Card title="Ollama" href="/components/embedders/models/ollama"></Card> |
| #19 | <Card title="Hugging Face" href="/components/embedders/models/huggingface"></Card> |
| #20 | <Card title="Google AI" href="/components/embedders/models/google_AI"></Card> |
| #21 | <Card title="Vertex AI" href="/components/embedders/models/vertexai"></Card> |
| #22 | <Card title="Together" href="/components/embedders/models/together"></Card> |
| #23 | <Card title="LM Studio" href="/components/embedders/models/lmstudio"></Card> |
| #24 | <Card title="Langchain" href="/components/embedders/models/langchain"></Card> |
| #25 | <Card title="AWS Bedrock" href="/components/embedders/models/aws_bedrock"></Card> |
| #26 | </CardGroup> |
| #27 | |
| #28 | ## Usage |
| #29 | |
| #30 | To utilize an embedding model, you must provide a configuration to customize its usage. If no configuration is supplied, a default configuration will be applied, and `OpenAI` will be used as the embedding model. |
| #31 | |
| #32 | For a comprehensive list of available parameters for embedding model configuration, please refer to [Config](./config). |
| #33 |