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Co-authored-by: generall <andrey@vasnetsov.com>

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Co-authored-by: generall <andrey@vasnetsov.com>

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Co-authored-by: trean <trean.mi@gmail.com>
Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com>
Co-authored-by: davidmyriel <davidmyriel@gmail.com>
2024-11-14 18:59:28 +01:00

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title: Embeddings weight: 19 partition: build

Supported Embedding Providers & Models

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

Some of the Embeddings you can use with Qdrant:

SentenceTransformers, BERT, SBERT, Clip, OpenClip, Open AI, Vertex AI, Azure AI, AWS Bedrock, Jina AI, Upstage AI, Mistral AI, Cohere AI, Voyage AI, Aleph Alpha, Baidu Qianfan, BGE, Instruct, Watsonx Embeddings, Snowflake Embeddings, NVIDIA NeMo, Nomic, OCI Embeddings, Ollama Embeddings, MixedBread, Together AI, Clarifai, Databricks Embeddings, GPT4All Embeddings, John Snow Labs Embeddings.

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

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’s multimodal embeddings for text and vision.
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.
Snowflake Scalable embeddings for big data.
Upstage Embeddings for speech and language tasks.
Voyage AI Navigation and spatial understanding embeddings.