Note: This project was developed while working on the article Universal Knowledge Graph Embeddings (repository: Universal_Embeddings), which is currently under review.

Universal Knowledge Graph Embeddings

This repository contains code to run embeddings.cc and embeddings.cs.upb.de (also without TLS).

Documentation

Public API (for users)

• The API is documented at embeddings.cc/api
• Additional examples are provided in Python examples and JavaScript HTML form

Index API (for data developers)

• Use the Index API to create Elasticsearch indexes and to add data.
• It is only available in UPB network (use VPN).
• It can easily accessed using the methods in API python file.
  Usage examples are provided in the files for simple examples, in the adding CSV and in the adding UniKGE data.
• Important: Create an alias for each index to be available in public. Only aliases can be accessed by webservices.

Webservice	Method	Parameters
/ping	GET	-
/count	GET	index
/get_embeddings	GET	index, entity
/get_cpu_usage	POST	password
/get_indexes	POST	password
/create_index	POST	password, index, dimensions, shards
/create_index_usagelog	POST	password
/delete_index	POST	password, index
/add	POST	password, index, docs
/alias_put	POST	password, index, alias
/alias_delete	POST	password, index, alias

Development (for python developers)

• How to install on your system
• Development (External documentation of integrated components)

Virtual machine (for system administrators)

• Virtual machine (Installation and deployment)
• VM nginx (Webserver configuration)
• Deployment (How to publish a new version)
• Note: This is an extension of kg-embedding-service