fix for doc-sync (#82)

* removed .idea from git, added --force option to the push command at github action for doc-sync

* docs auto-sync

Co-authored-by: qdrant <qdrant@users.noreply.github.com>
This commit is contained in:
trean
2022-09-22 14:47:50 +02:00
committed by GitHub
co-authored by qdrant
parent 2f1d65d8e0
commit ff71adc9bb
19 changed files with 56 additions and 110 deletions
@@ -17,8 +17,8 @@ sudo docker info
* If you do not see the server listed, start the Docker daemon.
* On Linux, Docker needs `sudo` privileges. To run Docker commands without `sudo` privileges, create a docker group and add your users (see [Post-installation Steps for Linux](https://docs.docker.com/engine/install/linux-postinstall/) for details).
Pull the image:
```bash
docker pull qdrant/qdrant
```
@@ -36,7 +36,6 @@ It will store all data in `./path/to/data` directory.
By default, Qdrant uses port 6333, so at [localhost:6333](http://localhost:6333) you should see the welcome message.
## From source
Qdrant is written in Rust and can be compiled into a binary executable.
@@ -68,7 +67,6 @@ cargo build --release --bin qdrant
After a successful build, the binary is available at `./target/release/qdrant`.
## With Kubernetes
You can use a ready-made [Helm Chart](https://helm.sh/docs/) to run Qdrant in your Kubeternetes cluster.
@@ -109,7 +107,6 @@ Among other things, the configuration file allows you to specify the following s
See the comments in the [configuration file itself](https://github.com/qdrant/qdrant/blob/master/config/config.yaml) for details.
## Python client
In addition to the service itself, Qdrant has a distinct python client, which has some additional features compared to clients generated from OpenAPI directly.
@@ -121,12 +118,12 @@ pip install qdrant-client
```
### DocArray
You can also use Qdrant natively in DocArray, where Qdrant serves as a high-performance document store to enable scalable vector search.
DocArray is a library from Jina AI for nested, unstructured data in transit, including text, image, audio, video, 3D mesh, etc.
It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer the data with a Pythonic API.
To install DocArray with Qdrant support, please do
```bash