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    • Creating a Native Enrichment Step
      • Creating an Enrichment Step
        • Creating the Core Classes
        • Extending our Enrichment Step
        • Adding a Configuration Template
        • Adding the Enrichment Step
        • Creating an Enrichment Pipeline
      • Other Tasks
        • Entities, Metadata and Data
        • Accessing the Repository
      • Example Code
      • Troubleshooting
    • Creating a Python Enrichment Step
      • Creating an Enrichment Step
        • Running the Example from Command Line
        • Running the Example
      • Creating Your Own Step
      • Adding or Changing Entities, Metadata
  • whitepapers and explainers
    • From a Billion To One – Mastering Relevancy
    • Methods for Text Summarization
      • Application
      • Technology Methods
      • Commercial Tools
      • Key Research Centres
      • Productionisation
      • Related Areas of Text Analytics
      • Conclusion
      • References
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Aiimi Insight Engine currently only supports Elasticsearch for the reposistory. This is a schema-less, scalable, JSON based search and analytics engine. Elasticsearch scales well and with excellent resilience with its clustering and replication capabilities.There are many online resources available that detail all aspects of Elasticsearch.

Key Points For Aiimi Insight Engine:

  1. Elasticsearch requires a Java Virtual Machine (JVM) on the operating system.

    • Elasticsearch now ships with a JVM so there is no need to install an external one, although you can do if you wish.

  2. It requires the security within Elasticsearch to be operational.

    • All communications are over SSL, usernames and passwords are required to gain access.

  3. XPack licensing is a prerequisite.

    • It provides additional capabilities including, 3rd line support for your Elasticsearch cluster.

      • Depending on how you procured Aiimi Insight Engine, a licence may be included in your subscription. Your Account Executive or Services representative will be able to clarify this.

  4. For a production environment you will have a multi-node cluster running data and proxy nodes.

    • This will be discussed further in Deployment Options.

  5. Elasticsearch supports both a Microsoft Windows and Linux based operating systems. Aiimi does not have a preference.

  6. We recommend installing the user interface Kibana. It allows administrators access to the underlying indexes and various reporting tools.

    • This should be locked down to key users.

Kibana provides a series of capability including cluster monitoring. This is a very useful tool for administrators of large clusters.

https://www.elastic.co/