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 if you want stronger retrieval-system intuition.
What Comes Next
- Continue to ../README.md for the broader multimodal roadmap.
- Continue to ../../10-specializations/computer-vision/README.md if you want deeper vision-specific work.
- Continue to ../../20-real-time-streaming/README.md if you want live multimodal interaction patterns.
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