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Search and extract data from JSON files in your flows using text or query-based searches with the JSON Document Search component.
Component description
The JSON Document Search component is a versatile tool designed to search and extract information from JSON documents within your AI workflow. It supports both traditional text-based searches and advanced pandas query expressions, enabling efficient querying of structured data stored in JSON format.
This component enables users to:
It is especially useful when you need to filter, query, or locate specific data points within complex JSON structures, making it a valuable asset in data preprocessing, validation, and information retrieval tasks.
There is no input handle for this component.
Option | Description | Default/Example |
---|---|---|
Cache TTL | Determines how long to cache the JSON file content. Options range from “No cache” to “1 year”. | 2 weeks |
Case Sensitive | Whether the search distinguishes between uppercase and lowercase characters. | False |
JSON Array Key | Specifies the key holding the array of objects to search. Leave empty if the root is already array. | (empty) |
JSON Document ID | ID of the internal JSON document to use (if applicable). | (empty) |
JSON File URL | URL to an external JSON file, used if not selecting from internal documents. | (empty) |
Max Results | Maximum number of search results to return. | 5000 |
Search Columns | Comma-separated list of columns to search in. Searches all columns if left empty. | (empty) |
Tool Name | Custom name for this tool, for easier reference. | (empty) |
Tool Description | Description to help agents or users understand the tool’s purpose. | (empty) |
Verbose | Enables verbose output for debugging or detailed logs. | False |
This component is ideal for any AI workflow requiring robust, flexible, and efficient access to structured JSON data, whether for analytics, data enrichment, or as part of a larger decision-making process.
It allows you to search within JSON files using plain text or advanced query expressions, making it easy to extract relevant information from structured data inside your workflows.
Yes, you can connect to internal JSON documents or fetch data from external URLs, making it flexible for various data sources.
Absolutely. You can set the maximum number of results to return, helping you control the output and optimize performance.
Yes, you can define specific columns or fields to focus the search. If you leave it empty, the search will cover all fields in the JSON data.
You can choose to make your searches case-sensitive or not, giving you flexibility based on your data needs.
Integrate JSON data into your workflows with the JSON Document Search component—search, filter, and extract information easily.
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