Google VertexAI RAG Create Corpus

Overview

Use this Snap to create a RAG corpus.


Snap dialog

Prerequisites

None.

Snap views

View Description Examples of upstream and downstream Snaps
Input This Snap has at the most one document input view. None
Output This Snap has at the most one document output view. 
{
            "@type": "type.googleapis.com/google.cloud.aiplatform.v1.RagCorpus",
            "name": "projects/781443502750/locations/us-central1/ragCorpora/212795082393255936",
            "displayName": "test_corpus",
            "description": "test_corpus",
            "vectorDbConfig": {
              "ragManagedDb": {
                "knn": {}
                },
            "ragEmbeddingModelConfig": {
              "vertexPredictionEndpoint": {
                "endpoint": "projects/781443502750/locations/us-central1/publishers/google/models/text-embedding-005"
                  }
                }
              },
            "corpusId" : "212795082393255936",
            "corpusLocation" : "us-central1",
            "corpusName" : "212795082393255936:test_corpus"
}
 Mapper
Error

Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter when running the pipeline by choosing one of the following options from the When errors occur list under the Views tab. The available options are:

  • Stop Pipeline Execution Stops the current pipeline execution when an error occurs.
  • Discard Error Data and Continue Ignores the error, discards that record, and continues with the remaining records.
  • Route Error Data to Error View Routes the error data to an error view without stopping the Snap execution.

Learn more about Error handling in Pipelines.

Snap settings

Legend:
  • Expression icon (): Allows using JavaScript syntax to access SnapLogic Expressions to set field values dynamically (if enabled). If disabled, you can provide a static value. Learn more.
  • SnapGPT (): Generates SnapLogic Expressions based on natural language using SnapGPT. Learn more.
  • Suggestion icon (): Populates a list of values dynamically based on your Snap configuration. You can select only one attribute at a time using the icon. Type into the field if it supports a comma-separated list of values.
  • Upload : Uploads files. Learn more.
Learn more about the icons in the Snap settings dialog.
Field / Field set Type Description
Label String

Required. Specify a unique name for the Snap. Modify this to be more appropriate, especially if more than one of the same Snaps is in the pipeline.

Default value: Google VertexAI RAG Create Corpus

Example: Create company corpus
Location String/Expression/ Suggestion

The location of the corpus. By default, the account location is used.

Default value: N/A

Example: global/us-central1
Display name String/Expression

Required. The display name of the corpus.

Default value: N/A

Example: This corpus stores company-wide knowledge.
Description String/Expression

The description of the corpus.

Default value: N/A

Example: This corpus stores all company knowledge.
Polling Configuration Configure the following fields to modify the behavior of the polling time to fetch status.
Polling interval (ms) Integer/Expression Specify the time-interval in milliseconds between each poll of the run status. Default: 500 Example: 300
Polling timeout (ms) Integer/Expression Specify the total amount of time in milliseconds to wait before the Snap stops polling. Default: 30000 Example: 10000
Snap execution Dropdown list
Choose one of the three modes in which the Snap executes. Available options are:
  • Validate & Execute: Performs limited execution of the Snap and generates a data preview during pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during pipeline runtime.
  • Execute only: Performs full execution of the Snap during pipeline execution without generating preview data.
  • Disabled: Disables the Snap and all Snaps that are downstream from it.

Default value: Validate & Execute

Example: Execute only