# Vision-Language Models

CLIP, vision-language models, and multimodal RAG pipelines.

Use this subtrack when you want image-text retrieval, image understanding, and multimodal search systems. It is the most natural follow-on if you care about visual embeddings, document understanding, or image-grounded assistants.

## How To Use This Subtrack Well

- Start with CLIP-style embeddings before building multimodal RAG systems.
- Compare retrieval quality and grounding, not just generated answer quality.
- Pair this work with [../../08-rag/README.md](../../08-rag/README.md) if you want stronger retrieval-system intuition.

## What Comes Next

- Continue to [../README.md](../README.md) for the broader multimodal roadmap.
- Continue to [../../10-specializations/computer-vision/README.md](../../10-specializations/computer-vision/README.md) if you want deeper vision-specific work.
- Continue to [../../20-real-time-streaming/README.md](../../20-real-time-streaming/README.md) if you want live multimodal interaction patterns.
