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Improved Nested Docs and Link Grouping Support (#147)

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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>
This commit is contained in:
trean
2023-05-29 15:11:40 +02:00
committed by GitHub
co-authored by Andrey Vasnetsov David Sertic
parent b9874e5c56
commit 3215985d1d
60 changed files with 734 additions and 421 deletions
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qdrant-landing/content/documentation/integrations/cohere.md
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---
title: Cohere
weight: 700
---
# Cohere
Qdrant is compatible with Cohere [co.embed API](https://docs.cohere.ai/reference/embed) and it's official Python SDK that
might be installed as any other package:
```bash
pip install cohere
```
The embeddings returned by co.embed API might be used directly in the Qdrant client's calls:
```python
import cohere
import qdrant_client
from qdrant_client.http.models import Batch
cohere_client = cohere.Client("<< your_api_key >>")
qdrant_client = qdrant_client.QdrantClient()
qdrant_client.upsert(
collection_name="MyCollection",
points=Batch(
ids=[1],
vectors=cohere_client.embed(
model="large",
texts=["The best vector database"],
).embeddings,
)
)
```
If you are interested in seeing an end-to-end project created with co.embed API and Qdrant, please check out the
"[Question Answering as a Service with Cohere and Qdrant](https://qdrant.tech/articles/qa-with-cohere-and-qdrant/)" article.