# Supported Embedding Providers & Models

Qdrant supports all available text and multimodal dense vector embedding models as well as vector embedding services without any limitations.

## Code samples

| Embeddings Providers                                  | Description                                                      |
| ----------------------------------------------------- | ---------------------------------------------------------------- |
| [Aleph Alpha](https://qdrant.tech/documentation/embeddings/aleph-alpha/index.md) | Multilingual embeddings focused on European languages.           |
| [Bedrock](https://qdrant.tech/documentation/embeddings/bedrock/index.md)         | AWS managed service for foundation models and embeddings.        |
| [Cohere](https://qdrant.tech/documentation/embeddings/cohere/index.md)           | Language model embeddings for NLP tasks.                         |
| [Gemini](https://qdrant.tech/documentation/embeddings/gemini/index.md)           | Google Gemini embeddings for semantic search, classification.    |
| [Jina AI](https://qdrant.tech/documentation/embeddings/jina-embeddings/index.md) | Customizable embeddings for neural search.                       |
| [Mistral](https://qdrant.tech/documentation/embeddings/mistral/index.md)         | Open-source, efficient language model embeddings.                |
| [MixedBread](https://qdrant.tech/documentation/embeddings/mixedbread/index.md)   | Lightweight embeddings for constrained environments.             |
| [Mixpeek](https://qdrant.tech/documentation/embeddings/mixpeek/index.md)         | Managed SDK for video chunking, embedding, and post-processing. ​ |
| [Nomic](https://qdrant.tech/documentation/embeddings/nomic/index.md)             | Embeddings for data visualization.                               |
| [Nvidia](https://qdrant.tech/documentation/embeddings/nvidia/index.md)           | GPU-optimized embeddings from Nvidia.                            |
| [Ollama](https://qdrant.tech/documentation/embeddings/ollama/index.md)           | Embeddings for conversational AI.                                |
| [OpenAI](https://qdrant.tech/documentation/embeddings/openai/index.md)           | Industry-leading embeddings for NLP.                             |
| [Prem AI](https://qdrant.tech/documentation/embeddings/premai/index.md)          | Precise language embeddings.                                     |
| [Twelve Labs](https://qdrant.tech/documentation/embeddings/twelvelabs/index.md)  | Multimodal embeddings from Twelve labs.                          |
| [Snowflake](https://qdrant.tech/documentation/embeddings/snowflake/index.md)     | Scalable embeddings for big data.                                |
| [Superlinked](https://qdrant.tech/documentation/embeddings/superlinked/index.md) | Self-hosted inference engine serving 85+ dense, sparse, and multivector (ColBERT) embedding models from a single endpoint. |
| [Upstage](https://qdrant.tech/documentation/embeddings/upstage/index.md)         | Embeddings for speech and language tasks.                        |
| [Voyage AI](https://qdrant.tech/documentation/embeddings/voyage/index.md)        | Navigation and spatial understanding embeddings.                 |