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App Search and Workplace Search standalone products are now deprecated

Core capabilities of App Search and Workplace Search are available in Elasticsearch and Kibana.

By

The Search Product Team

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We’re announcing the deprecation of App Search and Workplace Search, in version 9.0.   

If you’re a customer of Elastic that currently enjoys our App Search and Workplace Search products, there’s no rush to migrate. They are still available in all the latest 8.x versions and will be supported for 27 months after the EOL announcement. 

These offerings were originally designed to simplify the experience of building applications and enterprise search on top of Elasticsearch, bringing simplified APIs, management UIs, and connectors implemented in a layer outside of Elasticsearch. While this was successful in many ways, by building outside of Elasticsearch, the flexibility and the capability of the offerings was limited. Users couldn't directly query Elasticsearch at scale. 

Additionally, it was difficult to bring semantic search or vector search into these simplified experiences. So, over the last 12–18 months, we've been focused on bringing many of those simplified APIs and experiences directly into Elasticsearch itself. This includes everything from synonym and query rule management, to the new semantic_text field type that simplifies adding vector and semantic search.

While there is no need to migrate immediately, if you're using App or Workplace Search, there has never been a better time to consider migrating to Elasticsearch directly and leverage the benefits of our new Serverless offering. For the best relevance, it's now easier than ever to get started with semantic or vector search.

Search for the enterprise at scale

The Elastic Cloud Serverless architecture is designed for the performance you need with the separation of search and ingest workloads.

Customers like SAP Concur cite Elasticsearch Serverless’s ease of use, simple setup, and autoscaling capacity as key factors in their team’s adoption.

Bring your data

When you connect your organization’s data to Elasticsearch, you can retrieve, analyze, and build anything.  

We provide a large catalog of language clients, (Java, .NET, Python, Go — you name it!) to ingest data of all shapes and sizes at scale. Bring your private intranet HTML and team wikis in with our lightweight crawler, or connect with business system data from over 30 third-party sources with self-managed connectors and a comprehensive catalog of integrations. Additionally, you can customize a connector for that one-off data source that's unique to you or use a simple file upload. 

Once your data is in Elasticsearch, you’re only a step away from building your first agent.

AI powered relevance

When adding semantic search or vector search, we have added ELSER, an English sparse vector model and E5 multilingual great dense vector options out-of-the-box. When considering semantic reranking we have a cross encoder reranking model Elastic Rerank. This model is best if you’re looking to have flexibility to improve relevance without reindexing or making changes to your existing data pipelines.

By utilizing our Open Inference API, developers can directly store the embeddings or summarization of content from the ecosystem of machine learning and LLM providers such as OpenAI, JinaAI, Alibaba Cloud AI, and more.  

For low code usage of those powerful AI capabilities, we provide an out of the box Playground and bundled Search AI Assistant for fast access to documentation, guidance, and resources to simplify implementing your first agent.

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The full power of _search is at your fingertips to build uniquely powerful workflows, but we’ve also given users a new way to search. ES|QL, our simple but powerful search query language for full text and semantic search, is available in Discover. 

Find employees from a specific department in one easy statement.

// join employees with their department name
FROM employees
| LOOKUP JOIN departments ON dep_id
| KEEP last_name, first_name, dep_name

Elasticsearch’s capabilities are only limited by your imagination. Bring your data, and we’ll do the rest.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

Elastic, Elasticsearch, ESRE, Elasticsearch Relevance Engine and associated marks are trademarks, logos or registered trademarks of Elasticsearch N.V. in the United States and other countries. All other company and product names are trademarks, logos or registered trademarks of their respective owners.

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