Data Inflow Integrations

Agently provides versatile data ingestion options, enabling AI Agents to stay updated with the latest, most relevant information from a variety of sources. Agently’s Anti-Hallucination Framework underpins all knowledge usage, validating that agents respond using factual, source-backed information while minimizing AI fabrication. Here’s how data can be seamlessly integrated into the platform, with even more integrations planned to expand Agently’s capabilities further:

Direct Data Input

• XML Integration: AI Agents can be enriched with structured data from XML files, allowing for efficient and precise data input.

• File Uploads: Users can upload files directly to Agently, training AI Agents on specific datasets critical to organizational goals.

Application Integrations

• Google Drive: Link Google Drive to grant AI Agents access to cloud-stored documents, ideal for teams that rely heavily on Google Workspace.

• OneDrive: Connect Microsoft OneDrive, allowing AI Agents to interact with files within the Microsoft ecosystem, streamlining access for Microsoft 365 users.

• Dropbox: Integrate Dropbox to enable AI Agents to retrieve and analyze documents, enhancing data accessibility for teams that work within Dropbox.

• Zapier: Use Zapier to connect AI Agents with thousands of other applications, automating workflows and expanding the range of tools and services available to AI.

• Confluence: Allow AI Agents to access and manage knowledge stored in Confluence, making them invaluable for knowledge management, document retrieval, and team collaboration.

• Zendesk: Integrate Zendesk to enhance customer service operations, allowing AI Agents to handle tickets, interact with customers, and support automation, improving overall customer support efficiency.

Anti-Hallucination

• Update & Refresh Logic Knowledge sources can be versioned, replaced, or scheduled for re-indexing. This ensures the agent stays up to date as your business evolves—without the need to rebuild or retrain from scratch.

• RAG-Backed Reasoning All responses referencing custom data go through a retrieval-augmented generation (RAG) system. This ensures answers are not only relevant, but also source-grounded and traceable—minimizing hallucinations and increasing user trust.

More Data Integrations to Come

Agently is continually evolving, with additional integrations planned to broaden the platform’s flexibility and application across industries. Future integrations will further empower AI Agents to seamlessly access and analyze data from a wide range of tools, ensuring Agently meets the ever-growing needs of modern businesses.

These robust integration options ensure Agently’s AI Agents have ready access to the data they need, while ongoing updates will keep the platform at the forefront of AI-driven data solutions.