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

title, short_description, description, weight, partition

title	short_description	description	weight	partition
Embeddings	Connect Qdrant to text, image, and multimodal embedding providers including OpenAI, Cohere, Jina, Mistral, AWS Bedrock, Voyage, and many more.	Browse Qdrant integrations with embedding providers and models for dense, sparse, and multimodal vectors, including OpenAI, Cohere, Jina, Mistral, and Bedrock.	700	ecosystem

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	Multilingual embeddings focused on European languages.
Bedrock	AWS managed service for foundation models and embeddings.
Cohere	Language model embeddings for NLP tasks.
Gemini	Google Gemini embeddings for semantic search, classification.
Jina AI	Customizable embeddings for neural search.
Mistral	Open-source, efficient language model embeddings.
MixedBread	Lightweight embeddings for constrained environments.
Mixpeek	Managed SDK for video chunking, embedding, and post-processing. ​
Nomic	Embeddings for data visualization.
Nvidia	GPU-optimized embeddings from Nvidia.
Ollama	Embeddings for conversational AI.
OpenAI	Industry-leading embeddings for NLP.
Prem AI	Precise language embeddings.
Twelve Labs	Multimodal embeddings from Twelve labs.
Snowflake	Scalable embeddings for big data.
Superlinked	Self-hosted inference engine serving 85+ dense, sparse, and multivector (ColBERT) embedding models from a single endpoint.
Upstage	Embeddings for speech and language tasks.
Voyage AI	Navigation and spatial understanding embeddings.