What is Insight AI?
Insight AI is an AI suite for teams that turns fragmented information into accessible knowledge. It connects to where your documents already live, indexes their content into a searchable knowledge layer, and lets you ask questions in plain language — answered by AI models that can draw on your own content.
You use Insight AI in two places:
- The dashboard (dashboard.insightai.pro) — where you connect data sources, run ingestion pipelines, organize your team, and manage AI models.
- Chat — a dedicated conversation workspace (opened from the dashboard) where you talk to AI models and get answers informed by your indexed documents.
The core concepts
Section titled “The core concepts”Four building blocks connect your files to your answers:
| Concept | What it is |
|---|---|
| Data source | A connection to where your files live — a network (SMB) file share your organization already uses. |
| Collection | A searchable index. When documents are ingested, their content is stored here so it can be found by meaning, not just keywords. |
| Pipeline | The link between a data source and a collection. Running a pipeline reads supported files from the source and indexes them into the collection. |
| Chat | A conversation with an AI model. When you ask a question, Insight AI automatically searches your collections and gives the model relevant excerpts from your documents to ground its answer. |
The flow is always the same:
Data source → Pipeline → Collection → Chat
- Connect a data source so Insight AI can reach your files.
- Create a collection to hold the searchable index.
- Create and run a pipeline to ingest documents from the source into the collection.
- Chat — your questions are automatically enriched with the most relevant passages from your indexed documents.
What Insight AI indexes
Section titled “What Insight AI indexes”Pipelines extract and index text from common document formats: PDF, Word
(.doc, .docx), PowerPoint (.ppt, .pptx), plain text, Markdown, and CSV.
See supported file types & limits for details.
Who does what?
Section titled “Who does what?”Every signed-in user works in the same dashboard. Teams are organized through groups: data sources are owned by a group, and each group carries a permission level and can be nested to mirror your team structure. Actions like managing collections, models, and groups affect the whole workspace, so coordinate with your team before deleting shared resources.