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.

• Apify Dataset: Integrates datasets from the Apify platform to enrich the agent's knowledge.

• 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.

• SQL Database: Ensures a connection to an entire SQL database to query and process its data.

• REST API: Interacts with REST APIs to retrieve and exploit external data.

• 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.