Minor improvements

1 files changed, 19 insertions, 16 deletions

diff --git a/README.md b/README.md
index 6a452c10f77..88da5ec887e 100644
--- a/README.md
+++ b/README.md
@@ -2,10 +2,15 @@
 
 [![#Vespa](https://vespa.ai/assets/vespa-logo-color.png)](https://vespa.ai)
 
-The big data serving engine - Store, search, rank and organize big data at user serving time.
-Vespa is an engine for low-latency computation over large data sets.
-It stores and indexes your data and executes distributed queries including evaluation of
-machine-learned models over many data points in real time.
+The open big data serving engine - Store, search, organize and make machine-learned inferences 
+over big data at serving time.
+
+This is the primary repository for Vespa where all development is happening. 
+New production releases from this repository's master branch are made each weekday from Monday to Thursday.
+
+Home page: [https://vespa.ai](https://vespa.ai)  
+Documentation: [https://docs.vespa.ai/](https://docs.vespa.ai/)  
+Run applications in the cloud for free: [https://cloud.vespa.ai](https://cloud.vespa.ai)  
 
 Screwdriver build status: [![Build Status](https://cd.screwdriver.cd/pipelines/6386/badge)](https://cd.screwdriver.cd/pipelines/6386)
 
@@ -24,24 +29,21 @@ Use cases such as search, recommendation and personalization need to select a su
 evaluate machine-learned models over the selected data, organize and aggregate it and return it, typically in less
 than 100 milliseconds, all while the data corpus is continuously changing. 
 
-This is hard to do, especially with large corpuses that needs to be distributed over multiple nodes and evaluated in 
-parallel. Vespa is a platform which performs these operations for you. It has been in development for many years 
-and is used on a number of large internet services and apps which serve hundreds of thousands of queries from 
-Vespa per second.
+This is hard to do, especially with large data sets that needs to be distributed over multiple nodes and evaluated in 
+parallel. Vespa is a platform which performs these operations for you  with high availability and performance. 
+It has been in development for many years and is used on a number of large internet services and apps which serve 
+hundreds of thousands of queries from Vespa per second.
+
 
 ## Install
 
-To get started using Vespa pick one of the quick start documents:
+Run your own Vespa instance: [https://docs.vespa.ai/en/getting-started.html](https://docs.vespa.ai/en/getting-started.html)  
+Or deploy your Vespa applications to the cloud service: [https://cloud.vespa.ai](https://cloud.vespa.ai)
 
-- [Run on a Mac or Linux machine using Docker](https://docs.vespa.ai/en/vespa-quick-start.html)
-- [Run on a Windows machine using Docker](https://docs.vespa.ai/en/vespa-quick-start-windows.html)
-- [Run on a Mac or Linux machine using VirtualBox+Vagrant](https://docs.vespa.ai/en/vespa-quick-start-vagrant.html)
-- [Multinode install on AWS EC2](https://docs.vespa.ai/en/vespa-quick-start-multinode-aws.html)
-- [Multinode install on AWS ECS](https://docs.vespa.ai/en/vespa-quick-start-multinode-aws-ecs.html)
 
 ## Usage 
 
-- The application created in the quickstart is fully functional and production ready, but you may want to [add more nodes](https://docs.vespa.ai/en/multinode-systems.html) for redundancy.
+- The application created in the getting started guide is fully functional and production ready, but you may want to [add more nodes](https://docs.vespa.ai/en/multinode-systems.html) for redundancy.
 - Try the [Blog search and recommendation tutorial](https://docs.vespa.ai/en/tutorials/blog-search.html) to learn more about using Vespa
 - See [developing applications](https://docs.vespa.ai/en/developer-guide.html) on adding your own Java components to your Vespa application.
 - [Vespa APIs](https://docs.vespa.ai/en/api.html) is useful to understand how to interface with Vespa
@@ -49,6 +51,7 @@ To get started using Vespa pick one of the quick start documents:
 
 Full documentation is available on [https://docs.vespa.ai](https://docs.vespa.ai).
 
+
 ## Contribute
 
 We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) to learn how to contribute.
@@ -67,7 +70,7 @@ Some suggested improvements with pointers to code are in [TODO.md](TODO.md).
 
 C++ and Java building is supported on CentOS 7.
 The Java source can also be built on any platform having Java 11 and Maven installed.
-Use the following guide to setup a complete development environment using Docker
+Use the following guide to set up a complete development environment using Docker
 for building Vespa, running unit tests and running system tests:
 [Vespa development on CentOS 7](https://github.com/vespa-engine/docker-image-dev#vespa-development-on-centos-7).