Changes and additions in response to PR comments

examples/vector_databases/redis/README.md

@@ -1,7 +1,26 @@
 
 # Redis
 
-**[Redis](https://redis.io)** has first-class support for vector search through the [RediSearch module](https://github.com/RediSearch/RediSearch). RediSearch is a [Redis module](https://redis.io/modules) that provides querying, secondary indexing, full-text search and vector search for Redis. To use RediSearch, you first declare indexes on your Redis data. You can then use the RediSearch query language to query that data.
+### What is Redis?
+
+Most developers from a web services background are probably familiar with Redis. At it's core, Redis is an open-source key-value store that can be used as a cache, message broker, and database. Developers choice Redis because it is fast, has a large ecosystem of client libraries, and has been deployed by major enterprises for years.
+
+In addition to the traditional uses of Redis. Redis also provides [Redis Modules](https://redis.io/modules) which are a way to extend Redis with new capabilities, commands and data types. Example modules include [RedisJSON](https://redis.io/docs/stack/json/), [RedisTimeSeries](https://redis.io/docs/stack/timeseries/), [RedisBloom](https://redis.io/docs/stack/bloom/) and [RediSearch](https://redis.io/docs/stack/search/).
+
+
+### Deployment options
+
+There are a number of ways to deploy Redis. For local development, the quickest method is to use the [Redis Stack docker container](https://hub.docker.com/r/redis/redis-stack) which we will use here. Redis Stack contains a number of Redis modules that can be used together to create a fast, multi-model data store and query engine.
+
+For production use cases, The easiest way to get started is to use the [Redis Cloud](https://redislabs.com/redis-enterprise-cloud/overview/) service. Redis Cloud is a fully managed Redis service. You can also deploy Redis on your own infrastructure using [Redis Enterprise](https://redislabs.com/redis-enterprise/overview/). Redis Enterprise is a fully managed Redis service that can be deployed in kubernetes, on-premises or in the cloud.
+
+Additionally, every major cloud provider ([AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-e6y7ork67pjwg?sr=0-2&ref_=beagle&applicationId=AWSMPContessa), [Google Marketplace](https://console.cloud.google.com/marketplace/details/redislabs-public/redis-enterprise?pli=1), or [Azure Marketplace](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/garantiadata.redis_enterprise_1sp_public_preview?tab=Overview)) offers Redis Enterprise in a marketplace offering.
+
+
+### What is RediSearch?
+
+RediSearch is a [Redis module](https://redis.io/modules) that provides querying, secondary indexing, full-text search and vector search for Redis. To use RediSearch, you first declare indexes on your Redis data. You can then use the RediSearch clients to query that data. For more information on the feature set of RediSearch, see the [RediSearch documentation](https://redis.io/docs/stack/search/).
+
 
 ### Features
 
@@ -26,6 +45,7 @@ RediSearch uses compressed, inverted indexes for fast indexing with a low memory
 * Sorting results (for example, by creation date)
 * JSON support through RedisJSON
 
+
 ### Clients
 
 Given the large ecosystem around Redis, there are most likely client libraries in the language you need. You can use any standard Redis client library to run RediSearch commands, but it's easiest to use a library that wraps the RediSearch API. Below are a few examples, but you can find more client libraries [here](https://redis.io/resources/clients/).