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Elasticsearch is a popular distributed full-text search engine. By centrally storing data, you can perform ultra-fast searches, fine-tuning relevance, and powerful analytics with ease. Elasticsearch has a pipeline tool for loading data called "Logstash". You can use CData JDBC Drivers to easily import data from any data source into Elasticsearch for search and analysis.
This article explains how to use the CData JDBC Driver for Cohere to load data from Cohere into Elasticsearch via Logstash.
Now, let's create a configuration file for Logstash to transfer Cohere data to Elasticsearch.
Start by setting the Profile connection property to the location of the Cohere Profile on disk (e.g. C:\profiles\Cohere.apip). Next, set the ProfileSettings connection property to the connection string for Cohere (see below).
Obtain your API key from your Cohere account at dashboard.cohere.com by navigating to the API Keys section.
Now let's run Logstash using the created "logstash.conf" file.
logstash-7.8.0\bin\logstash -f logstash.conf
A log indicating success will appear. This means the Cohere data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET api_table/_search
{
"query": {
"match_all": {}
}
}
👁 Querying the Cohere data loaded into ElasticsearchWe have confirmed that the data is stored in Elasticsearch.
👁 Confirming the Cohere data loaded into ElasticsearchBy using the CData JDBC Driver for Cohere with Logstash, it functions as a Cohere connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.
Connect to live data from Cohere with the API Driver
Connect to Cohere