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fix list
This commit is contained in:
davidmyriel
@@ -7,19 +7,14 @@ weight: 15
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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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Qdrant supports all available text and multimodal dense vector embedding models as well as vector embedding services without any limitations.
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## The following have been tested and verified:
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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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Additionally, [any open-source embeddings from HuggingFace](https://huggingface.co/spaces/mteb/leaderboard) can be used with Qdrant.
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## Integration code samples:
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## The following providers have been tested and verified:
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| Embeddings Providers | Description |
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| Embeddings Providers | Description |
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| ----------------------------- | ----------- |
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| ----------------------------- | ----------- |
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| [Aleph Alpha](./aleph-alpha/) | Multilingual embeddings focused on European languages. |
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| [Aleph Alpha](./aleph-alpha/) | Multilingual embeddings focused on European languages. |
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| [Bedrock](./bedrock/) | AWS managed service for foundation models and embeddings. |
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| [Bedrock](./bedrock/) | AWS managed service for foundation models and embeddings. |
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| [BGE](./bge/) | Chinese embeddings for various NLP tasks. |
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| [Clarifai](./clarifai/) | Embeddings for image and video recognition. |
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| [Clarifai](./clarifai/) | Embeddings for image and video recognition. |
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| [Clip](./clip/) | Aligns images and text, created by OpenAI. |
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| [Clip](./clip/) | Aligns images and text, created by OpenAI. |
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| [Cohere](./cohere/) | Language model embeddings for NLP tasks. |
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| [Cohere](./cohere/) | Language model embeddings for NLP tasks. |
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@@ -27,18 +22,19 @@ Additionally, [any open-source embeddings from HuggingFace](https://huggingface.
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| [Gemini](./gemini/) | Google’s multimodal embeddings for text and vision. |
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| [Gemini](./gemini/) | Google’s multimodal embeddings for text and vision. |
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| [GPT4All](./gpt4all/) | Open-source, local embeddings for privacy-focused use. |
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| [GPT4All](./gpt4all/) | Open-source, local embeddings for privacy-focused use. |
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| [Instruct](./instruct/) | Embeddings tuned for following instructions. |
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| [Instruct](./instruct/) | Embeddings tuned for following instructions. |
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| [Jina](./jina-emebddngs/) | Customizable embeddings for neural search. |
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| [Jina AI](./jina-embeddings/) | Customizable embeddings for neural search. |
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| [John Snow Labs](./johnsnow/) | Medical and clinical embeddings. |
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| [John Snow Labs](./johnsnow/) | Medical and clinical embeddings. |
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| [Mistral](./mistral/) | Open-source, efficient language model embeddings. |
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| [Mistral](./mistral/) | Open-source, efficient language model embeddings. |
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| [MixedBread](./mixedbread/) | Lightweight embeddings for constrained environments. |
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| [MixedBread](./mixedbread/) | Lightweight embeddings for constrained environments. |
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| [Nomic](./nomic/) | Embeddings for data visualization. |
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| [Nomic](./nomic/) | Embeddings for data visualization. |
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| [Nvidia](./nvidia_nemo/) | GPU-optimized embeddings from Nvidia. |
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| [Nvidia](./nvidia/) | GPU-optimized embeddings from Nvidia. |
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| [OCI](./oci/) | Oracle Cloud’s AI service with embeddings. |
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| [OCI](./oci/) | Oracle Cloud’s AI service with embeddings. |
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| [Ollama](./ollama/) | Embeddings for conversational AI. |
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| [Ollama](./ollama/) | Embeddings for conversational AI. |
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| [OpenAI](./openai/) | Industry-leading embeddings for NLP. |
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| [OpenAI](./openai/) | Industry-leading embeddings for NLP. |
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| [OpenCLIP](./openclip/) | OS implementation of CLIP for image and text. |
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| [Prem AI](./premai/) | Precise language embeddings. |
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| [Prem AI](./premai/) | Precise language embeddings. |
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| [Snowflake](./snowflake/) | Scalable embeddings for big data. |
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| [Snowflake](./snowflake/) | Scalable embeddings for big data. |
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| [Together AI](./together_ai/) | Community-driven, open-source embeddings. |
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| [Together AI](./togetherai/) | Community-driven, open-source embeddings. |
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| [Upstage](./upstage/) | Embeddings for speech and language tasks. |
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| [Upstage](./upstage/) | Embeddings for speech and language tasks. |
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| [Voyage AI](./voyage/) | Navigation and spatial understanding embeddings. |
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| [Voyage AI](./voyage/) | Navigation and spatial understanding embeddings. |
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| [Watsonx](./watsonx/) | IBM's enterprise-grade embeddings. |
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| [Watsonx](./watsonx/) | IBM's enterprise-grade embeddings. |
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---
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---
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title: Clarifai
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title: Clarifai
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weight: 1200
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weight: 1200
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aliases:
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- /documentation/examples/clarifai-search/
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- /documentation/tutorials/clarifai-search/
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- /documentation/integrations/clarifai/
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---
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---
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# Using Clarifai Embeddings with Qdrant
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# Using Clarifai Embeddings with Qdrant
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---
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---
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title: Clip
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title: Clip
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weight: 1300
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weight: 1300
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aliases:
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- /documentation/examples/clip-search/
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- /documentation/tutorials/clip-search/
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- /documentation/integrations/clip/
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---
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---
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# Using Clip with Qdrant
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# Using Clip with Qdrant
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---
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---
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title: Databricks Embeddings
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title: Databricks Embeddings
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weight: 1500
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weight: 1500
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aliases:
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- /documentation/examples/databricks-embeddings-search/
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- /documentation/tutorials/databricks-embeddings-search/
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- /documentation/integrations/databricks-embeddings/
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---
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---
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# Using Databricks Embeddings with Qdrant
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# Using Databricks Embeddings with Qdrant
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---
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---
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title: GPT4All
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title: GPT4All
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weight: 1700
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weight: 1700
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aliases:
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- /documentation/examples/gpt4all-search/
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- /documentation/tutorials/gpt4all-search/
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- /documentation/integrations/gpt4all/
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---
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---
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# Using GPT4All with Qdrant
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# Using GPT4All with Qdrant
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---
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---
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title: Instruct
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title: Instruct
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weight: 1800
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weight: 1800
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aliases:
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- /documentation/examples/instruct-search/
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- /documentation/tutorials/instruct-search/
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- /documentation/integrations/instruct/
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---
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---
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# Using Instruct with Qdrant
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# Using Instruct with Qdrant
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---
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---
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title: John Snow Labs
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title: John Snow Labs
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weight: 2000
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weight: 2000
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aliases:
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- /documentation/examples/john-snow-labs-search/
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- /documentation/tutorials/john-snow-labs-search/
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- /documentation/integrations/john-snow-labs/
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---
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---
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# Using John Snow Labs with Qdrant
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# Using John Snow Labs with Qdrant
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@@ -21,7 +16,7 @@ pip install johnsnowlabs
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```
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```
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Here is an example of how you mmight obtain embeddings using John Snow Labs's API and store them in a Qdrant collection:
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Here is an example of how you might obtain embeddings using John Snow Labs's API and store them in a Qdrant collection:
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```python
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```python
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import qdrant_client
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import qdrant_client
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---
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---
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title: MixedBread
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title: MixedBread
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weight: 2200
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weight: 2200
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aliases:
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- /documentation/examples/mixedbread-search/
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- /documentation/tutorials/mixedbread-search/
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- /documentation/integrations/mixedbread/
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---
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---
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# Using MixedBread with Qdrant
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# Using MixedBread with Qdrant
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---
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---
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title: OCI (Oracle Cloud Infrastructure)
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title: OCI (Oracle Cloud Infrastructure)
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weight: 2500
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weight: 2500
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aliases:
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- /documentation/examples/oci-(oracle-cloud-infrastructure)-search/
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- /documentation/tutorials/oci-(oracle-cloud-infrastructure)-search/
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- /documentation/integrations/oci-(oracle-cloud-infrastructure)/
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---
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---
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# Using OCI (Oracle Cloud Infrastructure) with Qdrant
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# Using OCI (Oracle Cloud Infrastructure) with Qdrant
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---
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---
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title: Ollama
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title: Ollama
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weight: 2600
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weight: 2600
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aliases:
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- /documentation/examples/ollama-search/
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- /documentation/tutorials/ollama-search/
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- /documentation/integrations/ollama/
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---
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# Using Ollama with Qdrant
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# Using Ollama with Qdrant
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---
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title: OpenCLIP
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title: OpenCLIP
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weight: 2750
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weight: 2750
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aliases:
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- /documentation/examples/openclip-search/
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- /documentation/tutorials/openclip-search/
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- /documentation/integrations/openclip/
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---
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# Using OpenCLIP with Qdrant
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# Using OpenCLIP with Qdrant
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-5
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---
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title: Together AI
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title: Together AI
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weight: 3000
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weight: 3000
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aliases:
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- /documentation/examples/together-ai-search/
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- /documentation/tutorials/together-ai-search/
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- /documentation/integrations/together-ai/
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---
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# Using Together AI with Qdrant
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# Using Together AI with Qdrant
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