Skip to content

Commit fbde062

Browse files
committed
chore: update docs
1 parent 3cf7d77 commit fbde062

File tree

5 files changed

+13
-0
lines changed

5 files changed

+13
-0
lines changed

docs/advanced/document-store/annlite.md

Lines changed: 4 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -2,6 +2,10 @@
22

33
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()`.
44

5+
````{tip}
6+
This feature requires `annlite`. You can install it via `pip install "docarray[full]".`
7+
````
8+
59

610
## Usage
711

docs/advanced/document-store/index.md

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -1,3 +1,4 @@
1+
(doc-store)=
12
# Document Store
23

34
```{toctree}

docs/advanced/document-store/qdrant.md

Lines changed: 3 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -2,6 +2,9 @@
22

33
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()`.
44

5+
````{tip}
6+
This feature requires `qdrant-client`. You can install it via `pip install "docarray[full]".`
7+
````
58

69
## Usage
710

docs/advanced/document-store/weaviate.md

Lines changed: 3 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -2,6 +2,9 @@
22

33
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()`.
44

5+
````{tip}
6+
This feature requires `weaviate-client`. You can install it via `pip install "docarray[full]".`
7+
````
58

69
## Usage
710

docs/fundamentals/documentarray/index.md

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -22,6 +22,8 @@ It is also powerful as Numpy `ndarray` and Pandas `DataFrame`, allowing you to e
2222

2323
What makes it more exciting is those advanced features of DocumentArray. These features greatly accelerate data scientists work on accessing nested elements, evaluating, visualizing, parallel computing, serializing, matching etc.
2424

25+
Finally, if your data is too big to fit into memory, you can simply switch to an {ref}`on-disk/remote document store<doc-store>`. All API and user experiences remain the same. No need to learn anything else.
26+
2527
## What's next?
2628

2729
Let's see how to construct a DocumentArray {ref}`in the next section<construct-array>`.

0 commit comments

Comments
 (0)