Merge branch 'MODELEXECUTE_command' of https://github.com/RedisAI/RedisAI into MODELEXECUTE_command

Author: alonre24

README.md

@@ -23,13 +23,13 @@ If you want to run examples, make sure you have [git-lfs](https://git-lfs.github
 To quickly tryout RedisAI, launch an instance using docker:
 
 ```sh
-docker run -p 6379:6379 -it --rm redislabs/redisai
+docker run -p 6379:6379 -it --rm redislabs/redisai:edge-cpu
 ```
 
 For docker instance with GPU support, you can launch it from `tensorwerk/redisai-gpu`
 
 ```sh
-docker run -p 6379:6379 --gpus all -it --rm redislabs/redisai:latest-gpu
+docker run -p 6379:6379 --gpus all -it --rm redislabs/redisai:edge-gpu
 ```
 
 But if you'd like to build the docker image, you need a machine that has Nvidia driver (CUDA 10.0), nvidia-container-toolkit and Docker 19.03+ installed. For detailed information, checkout [nvidia-docker documentation](https://github.com/NVIDIA/nvidia-docker)
@@ -122,6 +122,9 @@ Some languages have client libraries that provide support for RedisAI's commands
 | redisai-py | Python | BSD-3 | [RedisLabs](https://redislabs.com/) | [Github](https://github.com/RedisAI/redisai-py) |
 | redisai-go | Go | BSD-3 | [RedisLabs](https://redislabs.com/) | [Github](https://github.com/RedisAI/redisai-go) |
 | redisai-js | Typescript/Javascript | BSD-3 | [RedisLabs](https://redislabs.com/) | [Github](https://github.com/RedisAI/redisai-js) |
+| redis-modules-sdk | TypeScript | BSD-3-Clause | [Dani Tseitlin](https://github.com/danitseitlin) | [Github](https://github.com/danitseitlin/redis-modules-sdk) |
+| redis-modules-java | Java | Apache-2.0 | [dengliming](https://github.com/dengliming) | [Github](https://github.com/dengliming/redis-modules-java) |
+
 
 ## Backend Dependancy
 

docs/clients.md

@@ -8,5 +8,8 @@ Some languages already have client libraries that provide support for RedisAI's
 | redisai-py | Python | BSD-3 | [RedisLabs](https://redislabs.com/) | [Github](https://github.com/RedisAI/redisai-py) |
 | redisai-go | Go | BSD-3 | [RedisLabs](https://redislabs.com/) | [Github](https://github.com/RedisAI/redisai-go) |
 | redisai-js | Typescript/Javascript | BSD-3 | [RedisLabs](https://redislabs.com/) | [Github](https://github.com/RedisAI/redisai-js) |
+| redis-modules-sdk | TypeScript | BSD-3-Clause | [Dani Tseitlin](https://github.com/danitseitlin) | [Github](https://github.com/danitseitlin/redis-modules-sdk) |
+| redis-modules-java | Java | Apache-2.0 | [dengliming](https://github.com/dengliming) | [Github](https://github.com/dengliming/redis-modules-java) |
+
 
 The full documentation for RedisAI's API can be found at the [Commands page](commands.md).

docs/intro.md

@@ -195,13 +195,13 @@ A **Model** is a Deep Learning or Machine Learning frozen graph that was generat
 
 Models, like any other Redis and RedisAI data structures, are identified by keys. A Model's key is created using the [`AI.MODELSTORE` command](commands.md#aimodelstore) and requires the graph payload serialized as protobuf for input.
 
-In our examples, we'll use one of the graphs that RedisAI uses in its tests, namely 'graph.pb', which can be downloaded from [here](https://github.com/RedisAI/RedisAI/raw/master/tests/test_data/graph.pb). This graph was created using TensorFlow with [this script](https://github.com/RedisAI/RedisAI/blob/master/tests/test_data/tf-minimal.py).
+In our examples, we'll use one of the graphs that RedisAI uses in its tests, namely 'graph.pb', which can be downloaded from [here](https://github.com/RedisAI/RedisAI/raw/master/tests/flow/test_data/graph.pb). This graph was created using TensorFlow with [this script](https://github.com/RedisAI/RedisAI/blob/master/tests/flow/test_data/tf-minimal.py).
 
 ??? info "Downloading 'graph.pb'"
     Use a web browser or the command line to download 'graph.pb':
 
     ```
-    wget https://github.com/RedisAI/RedisAI/raw/master/tests/test_data/graph.pb
+    wget https://github.com/RedisAI/RedisAI/raw/master/tests/flow/test_data/graph.pb
     ```
 
 You can view the computation graph using [Netron](https://lutzroeder.github.io/netron/), which supports all frameworks supported by RedisAI.

docs/quickstart.md

@@ -8,13 +8,13 @@ The quickest way to try RedisAI is by launching its official Docker container im
 
 ### On a CPU only machine
 ```
-docker run -p 6379:6379 redislabs/redisai:latest
+docker run -p 6379:6379 redislabs/redisai:edge-cpu
 ```
 
 ### On a GPU machine
 
 ```
-docker run -p 6379:6379 --gpus all -it --rm redislabs/redisai:latest-gpu
+docker run -p 6379:6379 --gpus all -it --rm redislabs/redisai:edge-gpu
 ```
 
 ## Download