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Clarify it is required to have Nomic token (#615)

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Kacper Łukawski
2024-02-14 11:52:38 +01:00
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qdrant-landing/content/documentation/embeddings/nomic.md
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@@ -7,9 +7,11 @@ weight: 1100
The `nomic-embed-text-v1` model is an open source [8192 context length](https://github.com/nomic-ai/contrastors) text encoder.
While you can find it on the [Hugging Face Hub](https://huggingface.co/nomic-ai/nomic-embed-text-v1),
you may have more success through the [Nomic Text Embeddings](https://docs.nomic.ai/reference/endpoints/nomic-embed-text).
you may find it easier to obtain them through the [Nomic Text Embeddings](https://docs.nomic.ai/reference/endpoints/nomic-embed-text).
Once installed, you can configure it with the official Python client or through direct HTTP requests.
<aside role="status">Using Nomic Text Embeddings requires configuring the Nomic API token</aside>
You can use Nomic embeddings directly in Qdrant client calls. There is a difference in the way the embeddings
are obtained for documents and queries. The `task_type` parameter defines the embeddings that you get.
For documents, set the `task_type` to `search_document`: