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In this article
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Overview
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Overvie
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Snap Type
The <Snap name> PostgreSQL - Vector Search Snap is a Read/Write/Parse/Transform/Flow/Format-type Snap that reads/fetches/writes/parses/executes/transforms/calls/creates… .
Prerequisites
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Valid client ID.
A valid account with the required permissions
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None.
Support for Ultra Pipelines
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Works in Ultra Pipelines.
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Works in Ultra Pipelines if....
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Does not support Ultra Pipelines.
Limitations
None.
Limitations and Known Issues
None.
Snap Views
Type | Format | Number of Views | Examples of Upstream and Downstream Snaps | Description |
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Input | Document |
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Output | Document |
Binary
Binary or Document
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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:
Learn more about Error handling in Pipelines. |
Snap Settings
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data | {"features":["title","icon","rounded","collapsible","border"],"title":"Documenting Fields Based On Data Type/UI Element","titleColor":"#000000","titleColorBG":"#ff5c30","titleSize":"14","titleBold":true,"titleItalic":false,"titleUnderline":false,"lozenge":"Hot stuff","lozengeColor":"#172B4D","lozengeColorBG":"#fff0b3","height":200,"panelPadding":12,"panelColor":"#172B4D","panelColorBG":"#FFFFFF","borderColor":"#ff5c30","borderRadius":3,"borderStyle":"solid","borderWidth":1,"icon":"editor/info","iconPrimary":"#FFFFFF","iconSecondary":"#0052CC","newMacro":false} |
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Choose from the following sentences to document specific field types.
Drop-down lists/Option Buttons (radio buttons):
You must list the LoV and describe them if their meaning isn't apparent. In this case, format the LoV in italics, regular font for the LoV's description. In either case, list the LoVs as a bullet list.
<State what the option should do in this field>. The available options are: <bullet list of LoVs>
Specify the Salesforce API to be used. The available options are:...Select the <category> that you want to use. Available options are...
* Option 1<italicized>. <third person singular form of the verb>
* Option 2<italicized>. <third person singular form of the verb>
Select the API that you want to use. Available options are:
Bulk API. Sends the Snap execution request details as a bulk API call.
REST API. ...
OR
Select one of the three following modes in which the Snap executes:
* Validate & Execute. Performs limited execution of the Snap and generates a data preview during Pipeline validation, then 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 downstream from it.
Check boxes:
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If selected, <Snap behavior>.
If selected, an empty file is written when the incoming document has no data.
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Info |
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Field Name | Field Type |
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Description | |
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Label*
Default Value: |
PostgreSQL Vector Search |
PostgreSQL VS | String |
None.
Specify a name for the Snap. You can modify this to be more specific, especially if you have more than one of the same |
Snaps in your pipeline |
Number of records
Default Value:
Example:
String/Expression
Sampling Type is Number of records.
Enter the number of records to output.
fieldset Name
Specify advanced parameters that you want to include in the request.
Field 1*
Default Value: <value> or None.
Example: <value>
String
Debug mode check box is not selected.
Field 2
Default Value: <value> or None.
Example: <value>
String
None.
Snap Execution
Default Value:
Example: Validate & Execute
Dropdown list
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Schema name
Default Value: N/A | String/Expression/Suggestion | Specify the schema name for searching for a vector. |
Table Name*
Default Value: N/A | String/Expression/Suggestion | Specify the table name for searching for a vector. |
Vector Column*
Default Value: N/A | String/Expression/Suggestion | Specify the vector column name to search. |
Where Clause
Default Value: N/A | String/Expression/Suggestion | Specify the where clause to use in the vector search query statement. Because of the limitation of theSQL standard, you cannot use the |
Limit Rows
Default Value: 4 | Integer/Expression | Specify the number of rows the query must return.
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Distance Function*
Default Value: L2 | Dropdown List | Choose the similarity function to compare vectors. The available options are:
Learn more about the Vector Similarity Functions. |
Include vector values
Default Value: Deselected | Checkbox/Expression | Select this checkbox to include vector values in the response. This field does not support input schema from the upstream Snaps. |
Include scores
Default Value: Selected | Checkbox/Expression | Select this checkbox to include similarity scores in the response.
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Ignore empty result Default Value: Deselected | Checkbox | Select this checkbox to ignore the empty results and not write a document to the output view when a search operation returns no results.. |
Number of retries
Default Value: 0 | Integer/Expression | Specify the maximum number of retry attempts the Snap must make if a network failure occurs. |
Retry interval (seconds)
Default Value: 0 | Integer/Expression | Specify the time period between two successive retry requests. |
Snap execution Default Value: Validate & Execute | Dropdown list | Select one of the following three modes in which the Snap executes:
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Troubleshooting
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Error
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Reason
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Resolution
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Account validation failed.
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The Pipeline ended before the batch could complete execution due to a connection error.
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Verify that the Refresh token field is configured to handle the inputs properly. If you are not sure when the input data is available, configure this field as zero to keep the connection always open.
Examples
Excluding Fields from the Input Data Stream
We can exclude the unrequired fields from the input data stream by omitting them in the Input schema fieldset. This example demonstrates how we can use the <Snap Name> to achieve this result:
<screenshot of Pipeline/Snap and description>
Download this Pipeline.
Downloads
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Attachments | ||||
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Snap Pack History
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title | Click here to expand... |
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Related Content
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Endpoint Doc Link 1
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Endpoint Doc Link 2
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Example
Use Cosine Distance to Find Similar Vectors
The example pipeline below demonstrates how to use the PostgreSQL - Vector Search Snap to find similar vectors using the Cosine distance function.
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Step 1: Configure the Mapper Snap with a vector to find similar vectors in the PostgreSQL database.
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Step 2: Configure the PostgreSQL - Vector Search Snap as shown below:
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Step 3: Validate the pipeline. On validation, the Snap fetches similar vectors based on the following criteria:
The match vectors have cosine similarity distances, indicating their similarity to the input vector.
The cosine similarity distances measure how close the match vectors are to the input vector, with values closer to 0, indicating higher similarity.
The first match has the highest similarity (lowest distance), followed by the second match.
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