Use case

Connect knowledge to AI agents via API

Keep materials in TasK and use the API from your services: upload PDFs, video, audio, links and text, retrieve Markdown documents, find relevant fragments with semantic search and ask questions through our chat API. This lets an agent work with current context.

Request invite API Documentation

When an agent needs your context

An internal bot, research agent or automation should answer from your materials instead of making things up.

One knowledge base for integrations

Materials are updated in TasK, and the API gives access to them within the user’s permissions and the integration scenario you choose.

Challenge

An agent needs context, not just files

PDFs, video, audio, links and notes do not give an agent ready-to-use context by themselves. Text needs to be extracted, converted into a clear format and made searchable by meaning.

Solution

Connect this knowledge via API

Upload materials to TasK and connect the API to your agent or service: retrieve Markdown documents, find relevant fragments and ask questions through our chat API.

Why it works

Answers use relevant fragments

TasK extracts text, converts materials to Markdown, splits documents into chunks and uses embeddings for semantic search. The LLM receives context that is relevant to the question.

How to use

How to connect TasK to an agent

Start with one set of materials. Create an API key in the web interface, upload materials and connect the API to your agent: retrieve Markdown documents, find relevant fragments and ask questions through our chat API.

Upload and prepare materials

Send PDFs, video, audio, links and text from your service to TasK. TasK extracts the content and prepares Markdown documents for the agent to use next.