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Guides Reference Changelog

v1.0

Guides

v1.0Guides Reference Changelog

Documentation

Getting Started With the Indico API

Datasets

Introduction to Datasets

Workflows

Introduction to Workflows

Models (Agents)

Advanced Training Options
Static Agent Export and Import

Submissions

Interacting with Submissions

Reporting

User Reporting

Storage

Upload Storage Object
Download Storage Object

Custom Blueprints

Getting started with Custom Blueprints
Writing a Custom Blueprint
- Required inputs and outputs
Deploying a Custom Blueprint

Output

Retrieving Your Results
Interpreting Your JSON Results
Interpreting Your OCR and ETL Output

GraphQL

Custom GraphQL Queries

Python

Getting Started with Indico's Python Client
Python Client Library Classes
Python Client Library Types

C-Sharp

Namespace IndicoV2
Interface IIndicoClient
Namespace IndicoV2-CommonModels
Namespace IndicoV2-DataSets
Namespace IndicoV2-Extensions
Namespace IndicoV2-GraphQLRequest
- Interface IGraphQLRequestClient
Namespace IndicoV2-Jobs
Namespace IndicoV2-Models
Namespace IndicoV2-Ocr
Namespace IndicoV2-Reviews
- Interface IReviewsClient
Namespace IndicoV2-Storage
Namespace IndicoV2-Submissions
Namespace IndicoV2-Workflows

Java

The Java SDK Deprecated
com.indico
com.indico.entity
com.indico.exceptions
com.indico.mutation
com.indico.query
com.indico.request
- Graphql Request
- Raw Graphql Request
com.indico.storage
com.indico.type

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Introduction to Datasets

Datasets are collections of original documents that you can use to train your agents to extract data.

The Indico SDKs offer several different ways to interact with datasets:

Creating a Dataset
Get Dataset File Status
List Datasets
Deleting a Dataset
Add Dataset Files
Remove Dataset Files