Elastic Enterprise Search 8.6 enables customers to index searchable content on file systems, network drives, MongoDB, and Amazon S3. With new connectors for network drives and Amazon S3, content indexed can easily be transformed for natural language processing (NLP) use cases with intuitive tooling to test and tune your search experience with the trained model of your choice.

Relevant search starts with indexing the data you need, with a resilient solution that minimizes impact to your data sources. We’ve added greater precision to scheduling web crawls to offload traffic to sites during peak business hours, filtering rules for our MongoDB connector, and additional operator support with sync monitoring. With these additional capabilities, Enterprise Search on Elastic Cloud is a cost effective solution to keep your search experience and data in sync without the operational overhead of maintaining your own code or custom solution.

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8.6 Release notes for Enterprise Search
8.6 Breaking changes

Using the indexing API, customers could always bring in the data they needed with code that would be hosted on their own infrastructure and would continue to demand constant investment from their developers. While flexible and powerful, choosing to use Enterprise Search’s connector clients and framework gives your team more options to offload the pager to be supported by Elastic while retaining that flexibility and power to build for your needs.

The integration catalog for Enterprise Search consists of our web crawler, native connectors, and connector clients. The life cycle for these connectors starts with the connector client, which can be deployed on self managed infrastructure, is open code, and is customizable for your business needs. Any changes your developers choose to contribute into these open code repositories can be accepted and merged to be part of the native version of the connector, thus opening the door to a fully supported Elastic connector that your developers no longer have to maintain.

What else is new in Elastic 8.6? Check out the 8.6 announcement post to learn more >>

Open code connector clients for network drives and Amazon S3

In this release, we add the technical preview for two connector clients: network drives and Amazon S3. Customers who have utilized FSCrawler previously but needed a supported official Elastic connector have a great path to a native connector in this client.

Both of these clients allow you to take full advantage of search optimized Elasticsearch indices, defined ingest pipelines with PDF extraction support, and the improved tooling for NLP management.

These connectors unlock search experiences that allow your organization to find PII, for GDPR compliance and more. The answer to questions like: “What files in this file server contain social security numbers?” is only a search away.

Better tools to implement and manage NLP in search indices

In 8.5, we defined ingestion pipelines to easily allow customers to plug in defined inference pipelines with their trained model of choice. 8.6 brings a continuation of this work to enable intuitive testing within the UI. Using these new management tools, users can now see a search optimized index’s inference history, logs with any errors, and the JSON config for easy editing. We’ve also added the ability for users to define a field for the ML model outputs to copy to as well as a confidence threshold.

It’s easier and faster than ever to set up searchable NLP outputs with high confidence values.

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