eccenca Corporate Memory build plugin to publish and load datasets from a DBpedia databus service.
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Updated
Feb 3, 2024 - Python
eccenca Corporate Memory build plugin to publish and load datasets from a DBpedia databus service.
Bootstrap your eccenca Corporate Memory Python Plugin with this Repository Template.
Documentation repository for eccenca Corporate Memory
Bootstrap your eccenca Corporate Memory Marketplace Packages with this Repository Template.
Validate your Knowledge Graphs based on tests generated from SHACL shapes.
Send messages to Mattermost channels from within workflows.
Retrieve data from a Logpoint Security information and event management (SIEM) system.
Send or receive data from your organization´s Salesforce account.
Convert prices between currencies.
Send and receive messages from Apache Kafka.
Generate SHACL node and property shapes from a data graph.
Get files and process output via secure shell protocol.
Write ad-hoc transformations and workflow tasks with Python.
llama-index tools eccenca Corporate Memory Integration
Loop over the output of a task and start a sub-workflow for each entity.
Create ULIDs (Universally Unique Lexicographically Sortable Identifier) in transformations
A JDBC Connection Manager compatible with RDF knowledge graphs in eccenca Corporate Memory.
Generate new (draft) time-based UUID formats, a.k.a. uuid6, uuid7, and uuid8, to be used in a transformation
Base classes for developing eccenca Corporate Memory Python Plugins.
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