Elastic

import Icon from "@site/src/components/icon"; import PartialParams from '@site/docs/_partial-hidden-params.mdx'; import PartialConditionalParams from '@site/docs/_partial-conditional-params.mdx'; import PartialVectorSearchResults from '@site/docs/_partial-vector-search-results.mdx'; import PartialVectorStoreInstance from '@site/docs/_partial-vector-store-instance.mdx';

<Icon name="Blocks" aria-hidden="true" /> Bundles contain custom components that support specific third-party integrations with Langflow.

This page describes the components that are available in the Elastic bundle.

Elasticsearch

The Elasticsearch component reads and writes to an Elasticsearch instance using ElasticsearchStore.

<details> <summary>About vector store instances</summary> <PartialVectorStoreInstance /> </details> <PartialVectorSearchResults />

Elasticsearch parameters

You can inspect a vector store component's parameters to learn more about the inputs it accepts, the features it supports, and how to configure it.

<PartialParams /> <PartialConditionalParams />

For information about accepted values and functionality, see the Elasticsearch documentation or inspect component code.

Name	Type	Description
elasticsearch_url	String	Input parameter. Elasticsearch server URL.
cloud_id	String	Input parameter. Elasticsearch Cloud ID.
index_name	String	Input parameter. Name of the Elasticsearch index.
ingest_data	Data	Input parameter. Records to load into the vector store.
search_query	String	Input parameter. Query string for similarity search.
cache_vector_store	Boolean	Input parameter. If true, the component caches the vector store in memory for faster reads. Default: Enabled (true).
username	String	Input parameter. Username for Elasticsearch authentication. Required for all local deployments. Required for cloud deployments if api_key is empty.
password	SecretString	Input parameter. Password for Elasticsearch authentication. Required for all local deployments. Required for cloud deployments if api_key is empty
embedding	Embeddings	Input parameter. The embedding model to use.
search_type	String	Input parameter. The type of search to perform. Options are similarity (default) or mmr.
number_of_results	Integer	Input parameter. Number of search results to return. Default: 4.
search_score_threshold	Float	Input parameter. The minimum similarity score threshold for search results. Default: 0.
api_key	SecretString	Input parameter. API key for Elastic Cloud authentication. If provided, username and password aren't required.
verify_certs	Boolean	Input parameter. Whether to verify SSL certificates when connecting to Elasticsearch. Default: Enabled (true).

OpenSearch

The OpenSearch component reads and writes to OpenSearch instances using OpenSearchVectorSearch.

<details> <summary>About vector store instances</summary> <PartialVectorStoreInstance /> </details>

OpenSearch parameters

You can inspect a vector store component's parameters to learn more about the inputs it accepts, the features it supports, and how to configure it.;

<PartialParams /> <PartialConditionalParams />

For information about accepted values and functionality, see the OpenSearch documentation or inspect component code.

Name	Type	Description
opensearch_url	String	Input parameter. URL for OpenSearch cluster, such as https://192.168.1.1:9200.
index_name	String	Input parameter. The index name where the vectors are stored in OpenSearch cluster. Default: langflow.
ingest_data	Data	Input parameter. The data to be ingested into the vector store.
search_input	String	Input parameter. Enter a search query. Leave empty to retrieve all documents or if hybrid search is being used.
cache_vector_store	Boolean	Input parameter. If true, the component caches the vector store in memory for faster reads. Default: Enabled (true).
embedding	Embeddings	Input parameter. Attach an embedding model component to use to generate an embedding from the search query.
search_type	String	Input parameter. The type of search to perform. Options are similarity (default), similarity_score_threshold, mmr.
number_of_results	Integer	Input parameter. The number of results to return in search. Default: 4.
search_score_threshold	Float	Input parameter. The minimum similarity score threshold for search results. Default: 0.
username	String	Input parameter. The username for the OpenSearch cluster. Default: admin.
password	SecretString	Input parameter. The password for the OpenSearch cluster.
use_ssl	Boolean	Input parameter. Whether to use SSL. Default: Enabled (true).
verify_certs	Boolean	Input parameter. Whether to verify SSL certificates. Default: Disabled (false).
hybrid_search_query	String	Input parameter. Provide a custom hybrid search query in JSON format. This allows you to combine vector similarity and keyword matching.

OpenSearch output

<PartialVectorSearchResults /> <details> <summary>Vector Store Connection port</summary>

The OpenSearch component has an additional deprecated Vector Store Connection output. This output can only connect to a VectorStore input port, and it was intended for use with dedicated Graph RAG components.

The OpenSearch component doesn't require a separate Graph RAG component because OpenSearch instances support Graph traversal through built-in RAG functionality and plugins.

</details>