Here is an example of a graph as knowledge data is queried in natural language, and the obtained knowledge is converted into text for use.

1. Creating graph data

Extract graph data from a variety of data in your organization, such as using a relation extraction model.

2. Storing graph data in Fujitsu Enterprise Postgres

Store the created graph data in Fujitsu Enterprise Postgres. Nodes and edges can be added with Cypher queries using SQL functions.

3. Searching graph data

To search a graph, you specify a Cypher query to the SQL function. Converts the retrieved properties into a text representation for use.