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* added a table of content * wide layout for docs, styles for the table of content * fixes for docs layout * wide footer at the docs section * added support for nested docs, added toggling groups of links, delimiters, external links * external link icon * added active state for nested links, styles for the external link icon * styles fix * remove doc sync * update directory structure and doc titles * fix outstanding links * fix more links for merge * Revert "fix more links for merge" This reverts commit 46c9ccaf1b7765f2cda8dc85d625fa6b4e3f5436. * Revert "fix outstanding links" This reverts commit 28e6380b74f1ab74690c8184551f186656d6d4e9. * fix remaining broken links * move how-to tutorials in the different page * split tutorials * fix link * upd github edit link * skip empty index pages --------- Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com> Co-authored-by: David Sertic <62056091+davidmyriel@users.noreply.github.com>
40 lines
1002 B
Markdown
40 lines
1002 B
Markdown
---
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title: Cohere
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weight: 700
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---
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# Cohere
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Qdrant is compatible with Cohere [co.embed API](https://docs.cohere.ai/reference/embed) and it's official Python SDK that
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might be installed as any other package:
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```bash
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pip install cohere
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```
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The embeddings returned by co.embed API might be used directly in the Qdrant client's calls:
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```python
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import cohere
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import qdrant_client
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from qdrant_client.http.models import Batch
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cohere_client = cohere.Client("<< your_api_key >>")
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qdrant_client = qdrant_client.QdrantClient()
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qdrant_client.upsert(
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collection_name="MyCollection",
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points=Batch(
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ids=[1],
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vectors=cohere_client.embed(
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model="large",
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texts=["The best vector database"],
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).embeddings,
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)
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)
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```
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If you are interested in seeing an end-to-end project created with co.embed API and Qdrant, please check out the
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"[Question Answering as a Service with Cohere and Qdrant](https://qdrant.tech/articles/qa-with-cohere-and-qdrant/)" article.
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