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alaeddine-13 merged 2 commits into from
May 6, 2022
Merged

chore: complete backends dependency tags #328

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d674d24
chore: add dep tags for backends
alaeddine-13 May 5, 2022
d818026
docs: document usage and installation
alaeddine-13 May 5, 2022
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2 changes: 1 addition & 1 deletion docs/advanced/document-store/annlite.md
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One can use [Annlite](https://github.com/jina-ai/annlite) as the document store for DocumentArray. It is useful when one wants to have faster Document retrieval on embeddings, i.e. `.match()`, `.find()`.

````{tip}
This feature requires `annlite`. You can install it via `pip install "docarray[full]".`
This feature requires `annlite`. You can install it via `pip install "docarray[annlite]".`
````


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2 changes: 1 addition & 1 deletion docs/advanced/document-store/elasticsearch.md
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One can use [Elasticsearch](https://www.elastic.co) as the document store for DocumentArray. It is useful when one wants to have faster Document retrieval on embeddings, i.e. `.match()`, `.find()`.

````{tip}
This feature requires `elasticsearch`. You can install it via `pip install "docarray[full]".`
This feature requires `elasticsearch`. You can install it via `pip install "docarray[elasticsearch]".`
````

## Usage
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2 changes: 1 addition & 1 deletion docs/advanced/document-store/qdrant.md
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One can use [Qdrant](https://qdrant.tech) as the document store for DocumentArray. It is useful when one wants to have faster Document retrieval on embeddings, i.e. `.match()`, `.find()`.

````{tip}
This feature requires `qdrant-client`. You can install it via `pip install "docarray[full]".`
This feature requires `qdrant-client`. You can install it via `pip install "docarray[qdrant]".`
````

## Usage
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2 changes: 1 addition & 1 deletion docs/advanced/document-store/weaviate.md
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One can use [Weaviate](https://www.semi.technology) as the document store for DocumentArray. It is useful when one wants to have faster Document retrieval on embeddings, i.e. `.match()`, `.find()`.

````{tip}
This feature requires `weaviate-client`. You can install it via `pip install "docarray[full]".`
This feature requires `weaviate-client`. You can install it via `pip install "docarray[weaviate]".`
````

Here is a video tutorial that guides you to build a simple image search using Weaviate and Docarray.
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11 changes: 9 additions & 2 deletions setup.py
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'av',
'fastapi',
'uvicorn',
'strawberry-graphql',
'weaviate-client~=3.3.0',
'annlite>=0.3.0',
'qdrant-client~=0.7.1',
'strawberry-graphql',
'elasticsearch>=8.0.1',
],
'qdrant': [
'qdrant-client~=0.7.0',
'qdrant-client~=0.7.1',
],
'annlite': [
'annlite>=0.3.0',
],
'weaviate': [
'weaviate-client~=3.3.0',
],
'elasticsearch': [
'elasticsearch>=8.0.1',
],
'test': [
'pytest',
'pytest-timeout',
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'transformers>=4.16.2',
'weaviate-client~=3.3.0',
'annlite>=0.3.0',
'elasticsearch>=8.0.1',
'jina',
],
},
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