docs: Restructured integrations section (#1089)

* docs: Reorder integrations

* docs: Formatting langchain-go.md

* docs: Title for index

* docs: Redpanda docs (#1092)

qdrant-landing/content/documentation/frameworks/cheshire-cat.md

@@ -1,6 +1,5 @@
 ---
 title: Cheshire Cat
-weight: 600
 aliases: [ ../integrations/cheshire-cat/ ]
 ---
 
@@ -25,6 +24,7 @@ CORE_PORT=1865
 ```
 
 Cheshire Cat takes great advantage of the following features of Qdrant:
+
 * [Collection Aliases](../../concepts/collections/#collection-aliases) to manage the change from one embedder to another.
 * [Quantization](../../guides/quantization/) to obtain a good balance between speed, memory usage and quality of the results.
 * [Snapshots](../../concepts/snapshots/) to not miss any information.
@@ -35,11 +35,12 @@ Cheshire Cat takes great advantage of the following features of Qdrant:
 ## How to use the Cheshire Cat
 
 ### Requirements
+
 To run the Cheshire Cat, you need to have [Docker](https://docs.docker.com/engine/install/) and [docker-compose](https://docs.docker.com/compose/install/) already installed on your system.
 
 ```shell
 docker run --rm -it -p 1865:80 ghcr.io/cheshire-cat-ai/core:latest
-``` 
+```
 
 * Chat with the Cheshire Cat on [localhost:1865/admin](http://localhost:1865/admin).
 * You can also interact via REST API and try out the endpoints on [localhost:1865/docs](http://localhost:1865/docs)