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docs/v0x/components/embedders/overview.mdx

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+---
+title: Overview
+icon: "info"
+iconType: "solid"
+---
+
+Mem0 offers support for various embedding models, allowing users to choose the one that best suits their needs.
+
+## Supported Embedders
+
+See the list of supported embedders below.
+
+<Note>
+  The following embedders are supported in the Python implementation. The TypeScript implementation currently only supports OpenAI.
+</Note>
+
+<CardGroup cols={4}>
+  <Card title="OpenAI" href="/components/embedders/models/openai"></Card>
+  <Card title="Azure OpenAI" href="/components/embedders/models/azure_openai"></Card>
+  <Card title="Ollama" href="/components/embedders/models/ollama"></Card>
+  <Card title="Hugging Face" href="/components/embedders/models/huggingface"></Card>
+  <Card title="Google AI" href="/components/embedders/models/google_AI"></Card>
+  <Card title="Vertex AI" href="/components/embedders/models/vertexai"></Card>
+  <Card title="Together" href="/components/embedders/models/together"></Card>
+  <Card title="LM Studio" href="/components/embedders/models/lmstudio"></Card>
+  <Card title="Langchain" href="/components/embedders/models/langchain"></Card>
+  <Card title="AWS Bedrock" href="/components/embedders/models/aws_bedrock"></Card>
+</CardGroup>
+
+## Usage
+
+To utilize a embedder, 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 embedder.
+
+For a comprehensive list of available parameters for embedder configuration, please refer to [Config](./config).