Add README back

Author: lantiga

README.md

@@ -0,0 +1,67 @@
+# RedisAI
+
+A Redis module for serving tensors and executing deep learning graphs.
+Expect changes in the API and internals.
+
+## Cloning
+If you want to run examples, make sure you have [git-lfs](https://git-lfs.github.com) installed when you clone.
+
+## Building
+This will checkout and build Redis and download the libtensorflow binaries for your platform.
+```
+bash get_deps.sh
+make install
+```
+
+## Running the server
+```
+make run
+```
+
+## Running tests
+Tests are in the works, there's just a check script (requires Python 3.6.x)
+Make sure the server is running, then
+```
+cd examples/models
+# build a graph and write it out
+python tf-minimal.py
+```
+
+On the client, load the graph
+```
+./deps/redis/src/redis-cli -x AI.SET GRAPH foo TF < graph.pb
+```
+
+Then create the input tensors, run the computation graph and get the output tensor (see `load_model.sh`). Note the signatures: 
+* `AI.SET TENSOR tensor_key data_type ndims dim1..dimN [BLOB data | VALUES val1..valN]`
+* `AI.RUN GRAPH graph_key ninputs input_key input_name_in_graph ... output_key output_name_in_graph ...`
+```
+redis-cli
+> AI.SET TENSOR bar FLOAT 1 2 VALUES 2 3
+> AI.SET TENSOR baz FLOAT 1 2 VALUES 2 3
+> AI.RUN GRAPH foo 2 bar a baz b jez c
+> AI.GET TENSOR jez VALUES
+1) FLOAT
+2) (integer) 1
+3) 1) (integer) 2
+4) (integer) 8
+5) 1) "2"
+   2) "3"
+```
+
+### AI.SET TENSOR tensor_key data_type dim shape1..shapeN [BLOB data | VALUES val1..valN]
+Stores a tensor of defined type (FLOAT, DOUBLE, INT8, INT16, INT32, INT64, UINT8, UINT16) with N dimensions (dim) and shape given by shape1..shapeN
+
+### AI.SET GRAPH graph_key backend graph_blob prefix
+Stores a graph provided as a protobuf blob. Backend is TF for now.
+
+### AI.GET TENSOR tensor_key [BLOB | VALUES | META]
+
+### AI.RUN GRAPH graph_key ninputs input_key input_name_in_graph ... output_key output_name_in_graph ...
+
+
+## License
+
+AGPL-3.0 https://opensource.org/licenses/AGPL-3.0
+
+Copyright 2018, Orobix Srl & Redis Labs