Welcome to the Getting Started guide, This is what you will achieve by following the next steps:
Warning |
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ElasticSearch 7+ not supported for this version |
Tip |
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If Saga executes with an empty ElasticSearch, it will generate all the necessary indexes with the minimum default data (base pipeline, executors,...) |
At the moment of writing, Saga version 1.1.0 has just been released. You can get it here (Saga team in MS Teams).
It is a bundle containing:
Note |
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Creators and users of Saga are subscribed to this Saga team, so in case you you can always publish a message to get some help if you have questions or comments. |
$> java -version
{SAGA_HOME}
.{SAGA_HOME}
in something like {SAGA_HOME}/Elasticsearch-6.8.0
.{SAGA_HOME}/Elasticsearch-6.8.0/bin
.Tip |
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If Saga executes with an empty ElasticSearch, it will generate all the necessary indexes with the minimum default data (base pipeline, executors,...) |
; although you need to add new tags and resources. |
Once you have Saga in {SAGA_HOME}
validate the following:
{SAGA_HOME}/lib
folder containing the following JARs:saga-classification-trainer-stage-1.1.0
saga-name-trainer-stage-1.1.0
{SAGA_HOME}/config/config.json
:{SAGA-HOME}/nt-models
folder for "name trainers" and copy the model there.{SAGA-HOME}/ct-models
folder for "classification trainers" and copy the model there.{SAGA-HOME}/tf-models
folder for "FAQ" (uses TensorFlow) and copy the model there.{SAGA-HOME}/datasets
folder.To run Saga:
startup.bat
for Windows or startup.sh
for Linux).