docs auto-sync

qdrant-landing/content/documentation/install.md

@@ -44,21 +44,6 @@ This installation method can be helpful if you want to compile Qdrant for a spec
 Before compiling, make sure that the necessary libraries and the [rust toolchain](https://www.rust-lang.org/tools/install) are installed.
 The current list of required libraries can be found in the [Dockerfile](https://github.com/qdrant/qdrant/blob/master/Dockerfile).
 
-Select the minimum set of processor instructions that will be available when using the service.
-The instruction set depends on the hardware at your disposal.
-
-You can enable runtime selection of the architecture at the cost of a slightly bigger binary file size: 
-
-```bash
-export OPENBLAS_DYNAMIC_ARCH=1
-```
-
-Or select specific architecture:
-
-```bash
-export OPENBLAS_TARGET=CORE2
-```
-
 Build Qdrant with Cargo:
 
 ```bash
@@ -117,6 +102,7 @@ To install this client, just run the following command:
 pip install qdrant-client
 ```
 
+
 ### Integrations
 
 Qdrant may be also used as an efficient vector search backend in some other tools. Please check out the [Integrations](../integrations/) section

qdrant-landing/content/documentation/quick_start.md

@@ -25,6 +25,37 @@ In this case Qdrant will use default configuration and store all data under `./q
 
 Now Qdrant should be accessible at [localhost:6333](http://localhost:6333)
 
+
+### Local mode
+
+![Local mode workflow](https://raw.githubusercontent.com/qdrant/qdrant-client/master/docs/images/try-develop-deploy.png)
+
+
+With python client it is possible to try Qdrant without running docker container at all.
+
+Simply install it
+
+```
+pip install qdrant-client
+```
+
+and initialize client like this:
+
+```
+from qdrant_client import QdrantClient
+
+client = QdrantClient(":memory:")
+# or
+client = QdrantClient(path="path/to/db")  # Persists changes to disk
+```
+
+Local mode is useful for development, prototyping and testing.
+
+* You can use it to run tests in your CI/CD pipeline.
+* Run it in Colab or Jupyter Notebook, no extra dependencies required. See a [Colab Example](https://colab.research.google.com/drive/1Bz8RSVHwnNDaNtDwotfPj0w7AYzsdXZ-?usp=sharing)
+* When you need to scale, simply switch to server mode.
+
+
 ## API
 
 All interaction with Qdrant takes place via the REST API.