---
title: Overview
description: "Overview of all supported embedding model providers in Mem0, including OpenAI, Azure, Ollama, and more."
---

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>
  All embedders listed below are supported in the Python implementation. The TypeScript implementation supports: **OpenAI**, **Azure OpenAI**, **Google AI**, **Langchain**, **LM Studio**, and **Ollama**.
</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>
  <Card title="FastEmbed" href="/components/embedders/models/fastembed"></Card>
</CardGroup>

## Usage

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.

For a comprehensive list of available parameters for embedding model configuration, please refer to [Config](./config).
