interfaces page

qdrant-landing/content/documentation/interfaces.md

@@ -0,0 +1,73 @@
+---
+title: Interfaces
+weight: 14
+---
+
+# Interfaces
+
+> **Note:** If you are using a language that is not listed here, you can use the REST API directly or generate a client for your language 
+using [OpenAPI](https://github.com/qdrant/qdrant/blob/master/docs/redoc/master/openapi.json)
+or [protobuf](https://github.com/qdrant/qdrant/tree/master/lib/api/src/grpc/proto) definitions. 
+
+## Client Libraries
+||Client Repository|Installation|Version|
+|-|-|-|-|
+|![python](/docs/misc/python.webp)|**[Python](https://github.com/qdrant/qdrant-client)**|`pip install qdrant-client`|**Latest Release**|
+|![typescript](/docs/misc/ts.webp)|**[Typescript](https://github.com/qdrant/qdrant-js)**|`npm install @qdrant/js-client-rest`|**Latest Release**|
+|![rust](/docs/misc/rust.webp)|**[Rust](https://github.com/qdrant/rust-client)**|`cargo add qdrant-client`|**Latest Release**|
+|![golang](/docs/misc/go.webp)|**[Go](https://github.com/qdrant/go-client)**|`go get github.com/qdrant/go-client`|**Latest Release**|
+
+## API Reference
+
+All interaction with Qdrant takes place via the REST API. We recommend using REST API if you are using Qdrant for the first time or if you are working on a prototype.
+
+|API|Documentation|
+|-|-|
+| REST API |[OpenAPI Specification](https://qdrant.github.io/qdrant/redoc/index.html)|
+| gRPC API| [gRPC Documentation](https://github.com/qdrant/qdrant/blob/master/docs/grpc/docs.md)|
+
+### gRPC Interface
+
+The gRPC methods follow the same principles as REST. For each REST endpoint, there is a corresponding gRPC method.
+
+As per the [configuration file](https://github.com/qdrant/qdrant/blob/master/config/config.yaml), the gRPC interface is available on the specified port.
+
+```yaml
+service:
+  grpc_port: 6334
+```
+<aside role="status">If you decide to use gRPC, you must expose the port when starting Qdrant.</aside>
+ 
+Running the service inside of Docker will look like this:
+
+```bash
+docker run -p 6333:6333 -p 6334:6334 \
+    -v $(pwd)/qdrant_storage:/qdrant/storage \
+    qdrant/qdrant
+```
+
+**When to use gRPC:** The choice between gRPC and the REST API is a trade-off between convenience and speed. gRPC is a binary protocol and can be more challenging to debug.We recommend switching to it if you are already familiar with Qdrant and are trying to optimize the performance of your application.
+
+## Qdrant Web UI
+
+Qdrant's Web UI is an intuitive and efficient graphic interface for your Qdrant Collections, REST API and data points.
+
+In the **Console**, you may use the REST API to interact with Qdrant, while in **Collections**, you can manage all the collections and upload Snapshots. 
+
+![Qdrant Web UI](/articles_data/qdrant-1.3.x/web-ui.png)
+
+### Accessing the Web UI
+
+First, run the Docker container:
+
+```bash
+docker run -p 6333:6333 -p 6334:6334 \
+    -v $(pwd)/qdrant_storage:/qdrant/storage \
+    qdrant/qdrant
+```
+
+The GUI is available at `http://localhost:6333/dashboard`
+
+
+
+

qdrant-landing/content/documentation/python-client.md

@@ -1,7 +0,0 @@
----
-title: Python Client
-weight: 14
-type: external-link
-external_url: https://github.com/qdrant/qdrant-client
-sitemapExclude: True
----

qdrant-landing/content/documentation/quick-start.md

@@ -69,7 +69,7 @@ client = QdrantClient("localhost", port=6333)
 
 # Running vector search queries
 
-In this simple example, you will create a Qdrant collection, load data into it and run a basic search query. 
+In this short example, you will create a Qdrant collection, load data into it and run a basic search query. 
 
 ![Qdrant Quickstart](/docs/quickstart.png)
 
@@ -179,6 +179,6 @@ You have just conducted vector search. You loaded vectors into a database and qu
 
 ## Next Steps
 
-Now you know how Qdrant works. Getting started with [Qdrant Cloud](../cloud/quickstart-cloud/)| is even simpler. [Create an account](https://qdrant.to/cloud) and use our SaaS completely free. We will take care of infrastructure maintenance and software updates. 
+Now you know how Qdrant works. Getting started with [Qdrant Cloud](../cloud/quickstart-cloud/) is just as easy. [Create an account](https://qdrant.to/cloud) and use our SaaS completely free. We will take care of infrastructure maintenance and software updates. 
 
 To move onto some more complex examples of vector search, read our [Tutorials](../tutorials/) and create your own app with the help of our [Examples](../examples/).