multimodal-rag
✓CLIP, SigLIP 2, Voyage multimodal-3 patterns for image+text retrieval, cross-modal search, and multimodal document chunking. Use when building RAG with images, implementing visual search, or hybrid retrieval.
Installation
SKILL.md
Build retrieval-augmented generation systems that handle images, text, and mixed content.
| Approach | Pros | Cons | Best For |
| Joint Embedding (CLIP) | Direct comparison | Limited context | Pure image search | | Caption-based | Works with text LLMs | Lossy conversion | Existing text RAG | | Hybrid | Best accuracy | More complex | Production systems |
CLIP, SigLIP 2, Voyage multimodal-3 patterns for image+text retrieval, cross-modal search, and multimodal document chunking. Use when building RAG with images, implementing visual search, or hybrid retrieval. Source: yonatangross/orchestkit.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/yonatangross/orchestkit --skill multimodal-rag- Source
- yonatangross/orchestkit
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is multimodal-rag?
CLIP, SigLIP 2, Voyage multimodal-3 patterns for image+text retrieval, cross-modal search, and multimodal document chunking. Use when building RAG with images, implementing visual search, or hybrid retrieval. Source: yonatangross/orchestkit.
How do I install multimodal-rag?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/orchestkit --skill multimodal-rag Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/yonatangross/orchestkit
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01