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Kibana is Elasticsearch’s data visualization engine, allowing you to natively interact with all your data in Elasticsearch via custom dashboards. Kibana’s dynamic dashboard panels are savable, shareable and exportable, displaying changes to queries into Elasticsearch in real-time. You can perform data analysis in Kibana’s beautiful user interface using pre-designed dashboards or update these dashboards in real-time for on-the-fly data analysis
langchain-elasticsearch This package contains the LangChain integration with Elasticsearch. Installation pip install -U langchain-elasticsearch Elasticsearch setup Elastic Cloud You need a running Elasticsearch deployment. The easiest way to start one is through Elastic Cloud. You can sign up for a free trial. Create a deployment Get your Cloud ID: In the Elastic Cloud console, click "Manage" next to your deployment Copy the Cloud ID and paste it into the es_cloud_id parameter below Create an API key: In the Elastic Cloud console, click "Open" next to your deployment In the left-hand side menu, go to "Stack Management", then to "API Keys" Click "Create API key" Enter a name for the API key and click "Create" Copy the API key and paste it into the es_api_key parameter below Alternatively, you can run Elasticsearch via Docker as described in the docs. Usage ElasticsearchStore The ElasticsearchStore class exposes Elasticsearch as a vector store. from langchain_elasticsearch impor