landing_page/qdrant-landing/content/documentation/embeddings/_index.md

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title: Embeddings weight: 15

Supported Embedding Providers & Models

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

Additionally, any open-source embeddings from HuggingFace can be used with Qdrant.

The following providers have been tested and verified:

Embeddings Providers	Description
Aleph Alpha	Multilingual embeddings focused on European languages.
Bedrock	AWS managed service for foundation models and embeddings.
Clarifai	Embeddings for image and video recognition.
Clip	Aligns images and text, created by OpenAI.
Cohere	Language model embeddings for NLP tasks.
Databricks	Scalable embeddings integrated with Apache Spark.
Gemini	Google’s multimodal embeddings for text and vision.
GPT4All	Open-source, local embeddings for privacy-focused use.
Instruct	Embeddings tuned for following instructions.
Jina AI	Customizable embeddings for neural search.
John Snow Labs	Medical and clinical embeddings.
Mistral	Open-source, efficient language model embeddings.
MixedBread	Lightweight embeddings for constrained environments.
Nomic	Embeddings for data visualization.
Nvidia	GPU-optimized embeddings from Nvidia.
OCI	Oracle Cloud’s AI service with embeddings.
Ollama	Embeddings for conversational AI.
OpenAI	Industry-leading embeddings for NLP.
OpenCLIP	OS implementation of CLIP for image and text.
Prem AI	Precise language embeddings.
Snowflake	Scalable embeddings for big data.
Together AI	Community-driven, open-source embeddings.
Upstage	Embeddings for speech and language tasks.
Voyage AI	Navigation and spatial understanding embeddings.
Watsonx	IBM's enterprise-grade embeddings.