Create a Search Index Configuration with Easy Setup
Follow a few automated steps to create a hybrid search index configuration for a data
model object (DMO) or an unstructured data model object (UDMO). Data 360 automatically applies
defaults for the chunking and vectorization strategies, and creates chunk and index model
objects.
Before creating a search index, review the search index considerations in the Search Reference.
Easy Setup includes these defaults.
Chunking strategy: Passage extraction
Embedding model: E5-Large V2
Search Type: Hybrid Search
From App Launcher, select Data Cloud.
Click Search Index > New.
Click Easy Setup > Next.
From the New Search Index Configuration page, select a Data Space and one or more
UDMOs or DMOs. A search index configuration is created for each object that you
select.
Note A DMO that has mappings from one or more external DLOs can
only be used as the data source if caching is enabled for all those external DLOs. For
more information see, Caching in Data Federation.
Add a Search Index Configuration Name and Search Index Configuration API Name.
Click Next.
Review the configuration and the target data model objects, and click
Save.
Create a retriever in AI Models (formerly Einstein Studio) to retrieve data from a search index.
Use retrievers in prompt templates and agent actions to get relevant results. For
more information see, Create an Individual Retriever.
Data 360 creates a hybrid search index for the DMO or UDMO selected.
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