Examples and Practice: Multimodal RAG Preview¶
Worked Practice¶
- Write one paragraph explaining Multimodal RAG Preview to a beginner.
- Draw the smallest diagram that shows input, transformation, output, and failure mode.
- Build or outline a tiny artifact connected to: Build a document ingestion pipeline.
- Measure it with: Track parsed documents, rejected content, chunks, metadata, and freshness.
- Add one failure case to your learning log.
Mini Project Drill¶
Create a file named notes/multimodal-rag-preview.md in your project workspace. Include:
- the problem Multimodal RAG Preview solves
- the simplest implementation or design
- the measurement you used
- one example input
- one expected output
- one failure case
- one decision you would make from the result
Check Your Understanding¶
| Question | What a strong answer includes |
|---|---|
| Why does Multimodal RAG Preview matter? | It connects to an evaluated rag or ai workflow application with documents, prompts, tests, logs, latency, cost, and failure analysis. and names a practical risk. |
| How would you test it? | It uses a small repeatable case and a measurable expected result. |
| What breaks first? | It names a specific failure mode, not only "the model is bad". |
| When should you move on? | When the artifact works on a realistic case and one edge case. |
Stretch Exercise¶
Revisit the same drill after finishing the next part. Update the note with what changed. This is how isolated concepts become connected system judgment.
Return to 5.3.5 Multimodal RAG Preview.