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Filip Makraduli
44cf24a4aa
Adds a documentation page for Superlinked (SIE) as a Qdrant embedding provider. The sie-qdrant package provides SIEVectorizer for dense embeddings and SIENamedVectorizer for multi-type (dense, sparse, and multivector/ColBERT) embeddings, enabling hybrid search via Qdrant's Reciprocal Rank Fusion and native MaxSim retrieval via MultiVectorConfig. Python-only.
39 lines
3.3 KiB
Markdown
39 lines
3.3 KiB
Markdown
---
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title: Embeddings
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weight: 700
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partition: ecosystem
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---
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# Supported Embedding Providers & Models
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Qdrant supports all available text and multimodal dense vector embedding models as well as vector embedding services without any limitations.
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## Some of the Embeddings you can use with Qdrant
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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.
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Additionally, [any open-source embeddings from HuggingFace](https://huggingface.co/spaces/mteb/leaderboard) can be used with Qdrant.
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## Code samples
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| Embeddings Providers | Description |
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| ----------------------------------------------------- | ---------------------------------------------------------------- |
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| [Aleph Alpha](/documentation/embeddings/aleph-alpha/) | Multilingual embeddings focused on European languages. |
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| [Bedrock](/documentation/embeddings/bedrock/) | AWS managed service for foundation models and embeddings. |
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| [Cohere](/documentation/embeddings/cohere/) | Language model embeddings for NLP tasks. |
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| [Gemini](/documentation/embeddings/gemini/) | Google Gemini embeddings for semantic search, classification. |
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| [Jina AI](/documentation/embeddings/jina-embeddings/) | Customizable embeddings for neural search. |
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| [Mistral](/documentation/embeddings/mistral/) | Open-source, efficient language model embeddings. |
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| [MixedBread](/documentation/embeddings/mixedbread/) | Lightweight embeddings for constrained environments. |
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| [Mixpeek](/documentation/embeddings/mixpeek/) | Managed SDK for video chunking, embedding, and post-processing. |
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| [Nomic](/documentation/embeddings/nomic/) | Embeddings for data visualization. |
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| [Nvidia](/documentation/embeddings/nvidia/) | GPU-optimized embeddings from Nvidia. |
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| [Ollama](/documentation/embeddings/ollama/) | Embeddings for conversational AI. |
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| [OpenAI](/documentation/embeddings/openai/) | Industry-leading embeddings for NLP. |
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| [Prem AI](/documentation/embeddings/premai/) | Precise language embeddings. |
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| [Twelve Labs](/documentation/embeddings/twelvelabs/) | Multimodal embeddings from Twelve labs. |
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| [Snowflake](/documentation/embeddings/snowflake/) | Scalable embeddings for big data. |
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| [Superlinked](/documentation/embeddings/superlinked/) | Self-hosted inference engine serving 85+ dense, sparse, and multivector (ColBERT) embedding models from a single endpoint. |
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| [Upstage](/documentation/embeddings/upstage/) | Embeddings for speech and language tasks. |
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| [Voyage AI](/documentation/embeddings/voyage/) | Navigation and spatial understanding embeddings. |
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