Data connectors
In Swiftask, several types of Data connectors are available.
Rich Text: Allows the integration of raw text content for analysis or exploitation in an agent.
PDF File: Enables the import and extraction of text from PDF files.
Azure Document Loader: Facilitates access to and analysis of documents stored in Azure.
YouTube: Extracts and analyzes audio or text content from YouTube videos.
PowerPoint File: Allows the import and processing of slides from a PowerPoint file.
Excel File: Offers the possibility of extracting tabular data from Excel files.
DOCX File: Manages the import and analysis of Word documents in DOCX format.
REST API: Interacts with REST APIs to retrieve and exploit external data.
SharePoint (Beta): Enables loading folders and files from SharePoint.
JSON File: Processes JSON files to integrate structured data into the agent.
CSV File: Imports datasets in CSV format for analysis and exploitation.
SQL Database Query: Directly launches queries on an SQL database to extract targeted information.
Website: Browses a complete website to extract content and metadata.
Webpage: Analyzes a specific web page to gather textual information.
Sitemap: Examines a sitemap to efficiently explore and index the architecture of a website
Google Drive Files: Enables loading and accessing files stored on Google Drive, providing direct integration of your cloud data for workspace analysis.
Dropbox Files: Allows importing files hosted on Dropbox, enabling seamless integration of your cloud data as a source within your working environment.
Mistral OCR Loader: Easily load data from PDF, JPG, or JPEG files using Mistral OCR.
Tex File : Designed for quick and easy loading of data from plain text files.

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