diff --git a/solutions/search/get-started.md b/solutions/search/get-started.md index 85fe56fc1d..bab3fe90ff 100644 --- a/solutions/search/get-started.md +++ b/solutions/search/get-started.md @@ -5,28 +5,73 @@ mapped_pages: applies_to: stack: serverless: + elasticsearch: all products: - id: elasticsearch - id: cloud-serverless +navigation_title: Get started +description: To try out an {{es}} project or solution, pick your deployment type, search goals, and ingestion method. --- -# Get started +# Get started with {{es}} -## Core implementation decisions +New to {{es}}? Start building a search experience by setting up your first deployment, refining your search goals, and adding data. -% TODO add diagram +:::{note} +If you're looking for an introduction to the {{stack}} or the {{es}} product, go to [](/get-started/index.md) or [](/manage-data/data-store.md). +::: -Building a search experience with {{es}} requires a number of fundamental implementation decisions: +:::::{stepper} +::::{step} Choose your deployment type -1. [**Deployment**](/deploy-manage/index.md): Where will you run Elastic? -1. [**Ingestion**](ingest-for-search.md): What tools will you use to get your content into {{es}}? -1. [**Search approaches**](search-approaches.md): What search techniques and algorithms will you use to find relevant results? -1. **Implementation tools**: How will you write queries and interact with {{es}}? - - Which programming language client matches your application? - - Which API endpoints and [query language(s)](querying-for-search.md) will you use to express your search logic? +Elastic provides several self-managed and Elastic-managed options. +For simplicity and speed, try out [{{es-serverless}}](/solutions/search/serverless-elasticsearch-get-started.md). +Alternatively, create a [local development installation](/deploy-manage/deploy/self-managed/local-development-installation-quickstart.md) in Docker: + +```sh +curl -fsSL https://elastic.co/start-local | sh +``` + +Check out the full list of [deployment types](/deploy-manage/deploy.md#choosing-your-deployment-type) to learn more. +:::: + +::::{step} Identify your search goals +Depending on your use case, you can choose multiple [search approaches](search-approaches.md), for example full-text and semantic search. +Each approach affects your options for storing and querying your data. + +If you're unsure which approaches match your goals, you can try them out with sample data. For example, [](/solutions/search/get-started/semantic-search.md). + +If you prefer to ingest your data first and transform or reindex it as needed later, skip to the next step. +:::: +::::{{step}} Ingest your data + +If your goals include vector or semantic AI-powered search, create vectorized data with built-in and third-party natural language processing (NLP) models and store it in an {{es}} vector database. +The approach that requires the least configuration involves adding `semantic_text` fields when ingesting your data. +This method is described in [](/solutions/search/semantic-search/semantic-search-semantic-text.md). + +To learn about adding data for other search goals, go to [](/solutions/search/ingest-for-search.md). +For a broader overview of ingestion options, go to [](/manage-data/ingest.md). + +If you're not ready to add your own data, you can use [sample data](/manage-data/ingest/sample-data.md) or create small data sets when you follow the instructions in the [quickstarts](/solutions/search/get-started/quickstarts.md). +:::: + +::::{{step}} Build your search queries + +Your next steps will be to choose a method to write queries and interact with {{es}}. +You can pick a programming language [client](/reference/elasticsearch-clients/index.md) that matches your application and choose which [query languages](/solutions/search/querying-for-search.md) you will use to express your search logic. Each decision builds on the previous ones, offering flexibility to mix and match approaches based on your needs. -::::{tip} -Already have an {{es}} deployment? You can get started with our hands-on [quickstart guides](/solutions/search/get-started/quickstarts.md), or check out our [Python notebooks](https://github.com/elastic/elasticsearch-labs/tree/main/notebooks#readme). +Not sure where to start exploring? +Get an introduction to [index and search basics](/solutions/search/get-started/index-basics.md) or [build your first search query with Python](/solutions/search/get-started/keyword-search-python.md). :::: +::::: + +## Related resources + +Use these resources to learn more about {{es}} or get started in a different way: + +- [](/deploy-manage/deploy/deployment-comparison.md) +- [Get started with Query DSL search and filters](elasticsearch://reference/query-languages/query-dsl/full-text-filter-tutorial.md) +- [Get started with ES|QL queries](elasticsearch://reference/query-languages/esql/esql-getting-started.md) +- [Analyze eCommerce data with aggregations using Query DSL](/explore-analyze/query-filter/aggregations/tutorial-analyze-ecommerce-data-with-aggregations-using-query-dsl.md) diff --git a/solutions/search/get-started/quickstarts.md b/solutions/search/get-started/quickstarts.md index 05f7494693..3315a38e17 100644 --- a/solutions/search/get-started/quickstarts.md +++ b/solutions/search/get-started/quickstarts.md @@ -24,7 +24,10 @@ Follow the steps in these guides to get started quickly: ## Related resources +The following resources go deeper into specific features or use cases: + - [Get started with Query DSL search and filters](elasticsearch://reference/query-languages/query-dsl/full-text-filter-tutorial.md) - [Get started with ES|QL queries](elasticsearch://reference/query-languages/esql/esql-getting-started.md) - [Analyze eCommerce data with aggregations using Query DSL](/explore-analyze/query-filter/aggregations/tutorial-analyze-ecommerce-data-with-aggregations-using-query-dsl.md) - [](/solutions/search/hybrid-semantic-text.md) +- [](/solutions/search/vector/bring-own-vectors.md)