First page documentation (#77)

* First page documentation

* aligning readme and docs

* small fixes

Author: K-Jo

docs/index.md

@@ -1 +1,75 @@
 # RedisAI Module
+
+RedisAI is a Redis module for serving tensors and executing deep learning models.
+
+## Quickstart
+
+1. [Docker](#docker)
+2. [Build](#building)
+3. [Start](#start)
+
+## Docker
+
+To quickly tryout RedisAI, launch an instance using Docker:
+
+```sh
+docker run -p 6379:6379 -it --rm redisai/redisai
+```
+
+## Building
+This will checkout and build and download the libraries for the backends
+(TensorFlow and PyTorch) for your platform.
+
+```sh
+bash get_deps.sh
+
+```
+
+Once the dependencies are downloaded, build the module itself. Note that
+CMake 3.0 or higher is required.
+
+```sh
+mkdir build
+cd build
+cmake -DDEPS_PATH=../deps/install ..
+make
+cd ..
+```
+
+## Start
+You will need a redis-server version 4.0.9 or greater. This should be
+available in most recent distributions:
+
+```sh
+redis-server --version
+Redis server v=4.0.9 sha=00000000:0 malloc=libc bits=64 build=c49f4faf7c3c647a
+```
+
+To start redis with the RedisAI module loaded, you need to make sure the dependencies can be found by redis.  One example on how to do this on Linux is:
+
+```
+LD_LIBRARY_PATH=<PATH_TO>/deps/install/lib redis-server --loadmodule build/redisai.so
+```
+
+If you want to run examples, make sure you have [git-lfs](https://git-lfs.github.com) installed when you clone.
+On the client, load the model
+```
+./deps/redis/src/redis-cli -x AI.MODELSET foo TF CPU INPUTS a b OUTPUTS c < graph.pb
+```
+
+Then create the input tensors, run the computation graph and get the output tensor (see `load_model.sh`). Note the signatures: 
+* `AI.TENSORSET tensor_key data_type dim1..dimN [BLOB data | VALUES val1..valN]`
+* `AI.MODELRUN graph_key INPUTS input_key1 ... OUTPUTS output_key1 ...`
+```
+redis-cli
+> AI.TENSORSET bar FLOAT 2 VALUES 2 3
+> AI.TENSORSET baz FLOAT 2 VALUES 2 3
+> AI.MODELRUN foo INPUTS bar baz OUTPUTS jez
+> AI.TENSORGET jez VALUES
+1) FLOAT
+2) 1) (integer) 2
+3) 1) "4"
+   2) "9"
+```
+
+Full documentation of the api can be found [here](commands.md).