Elasticsearch is a distributed, open source search and analytics engine. Data is stored as JSON files in Elasticsearch indexes.
You can associate an Elasticsearch vector store with a foundation model prompt to use information from documents in the store to ground the prompt input in current facts.
Before you can associate an Elasticsearch vector store with a foundation model prompt, you must perform the one-time task of setting up a connection to the Elasticsearch vector store.
To set up the store, complete the following steps:
Set up an Elasticsearch database.
For example, you can provision a Databases for Elaticsearch service instance from IBM Cloud. Choose a plan that includes vector search support. For more information, see Getting Started.
Create a service credential. You use properties from the credential to set up the data store connector.
Deploy the ELSER model that is required to vectorize documents, and then create a vector index by uploading data.
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