---
title: "Embedding Models"
description: "AnythingLLM supports many embedding model providers out of the box with very little, if any setup"
---

import { Cards, Card } from "nextra/components";
import { ExternalLinkIcon } from "/components/icons";

# Embedding Models

AnythingLLM supports many embedding model providers out of the box with very little, if any setup.

Embedding models are specific types of models that turn text into vectors, which can be stored and searched in a vector database - which is the foundation of RAG.

## Supported Embedding Model Providers

### Local Embedding Model Providers

<Cards>
  <Card icon={<ExternalLinkIcon />} title="Built-in (default)" href="https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2" />
  <Card icon={<ExternalLinkIcon />} title="Ollama" href="https://ollama.com/" />
  <Card icon={<ExternalLinkIcon />} title="LM Studio" href="https://lmstudio.ai/" />
  <Card icon={<ExternalLinkIcon />} title="Local AI" href="https://localai.io/" />
  <Card icon={<ExternalLinkIcon />} title="Lemonade" href="https://lemonade-server.ai/" />
</Cards>

### Cloud Embedding Model Providers

<Cards>
  <Card icon={<ExternalLinkIcon />} title="OpenAI" href="https://platform.openai.com/" />
  <Card icon={<ExternalLinkIcon />} title="Azure OpenAI" href="https://azure.microsoft.com/en-us/products/ai-services/openai-service" />
  <Card icon={<ExternalLinkIcon />} title="Cohere" href="https://cohere.com/" />
  <Card icon={<ExternalLinkIcon />} title="Voyage AI" href="https://www.voyageai.com/" />
  <Card icon={<ExternalLinkIcon />} title="LiteLLM" href="https://litellm.ai/" />
  <Card icon={<ExternalLinkIcon />} title="Mistral" href="https://mistral.ai/" />
  <Card icon={<ExternalLinkIcon />} title="Generic OpenAI" href="https://openai.com/" />
  <Card icon={<ExternalLinkIcon />} title="Gemini" href="https://ai.google.dev/" />
  <Card icon={<ExternalLinkIcon />} title="OpenRouter" href="https://openrouter.ai/" />
</Cards>
