Learning Materials
Learning materials are the foundation of Orbit Classroom's AI-powered experience. Uploaded documents are processed, embedded, and made available to the RAG pipeline so the AI chat can provide grounded, citation-backed answers.
Supported File Types
| Category | Formats |
|---|---|
| Documents | PDF, Word (.docx) |
| Presentations | PowerPoint (.pptx) |
| Text | Markdown (.md), code files |
| Images | PNG, JPG, and other common formats |
The maximum file size is 30 MB per file.
Uploading Materials
Teachers and admins upload materials within lessons. Each material is associated with the lesson where it was added, but materials can be shared across lessons via reference -- there is no need to re-upload the same file.
All roles (admin, teacher, student) can download materials from published lessons.
Processing Pipeline
After upload, each material moves through an automated processing pipeline:
Upload → Text Extraction → Chunking → Embedding → Summarization
Processing Stages
| Stage | Meaning |
|---|---|
| PENDING | File received, queued for processing |
| PROCESSING | Text extraction, chunking, and embedding in progress |
| READY | Fully processed and available for AI chat retrieval |
| FAILED | Processing encountered an error; review and re-upload |
Once a material reaches the READY stage, its content is automatically available to the AI chat within that lesson. No additional configuration is needed.
AI Summaries
Every processed material receives an auto-generated AI summary. These summaries give students and teachers a quick overview of the document's contents without reading the full file.
Draft / Published Lifecycle
Materials follow the same draft/published pattern as other Orbit Classroom content:
- Draft -- visible only to teachers and admins for review.
- Published -- visible to students and available to the AI chat for retrieval.
Keep materials in draft while reviewing accuracy. Publishing makes them immediately available to students and to the AI for answering questions.