Cross-Modal Retrieval
by AaaS · open-source · Last verified 2026-03-17
Enables agents to retrieve images from text queries (or vice versa) by projecting both modalities into a shared embedding space using models like CLIP, ImageBind, and SigLIP. Covers index construction, cross-modal similarity scoring, and integration with vector databases for unified multimodal knowledge retrieval.
https://aaas.blog/skill/cross-modal-retrieval ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- image-to-text-retrieval, text-to-image-retrieval, shared-embedding-space, zero-shot-retrieval, cross-modal-ranking
- Integrations
- openai-clip, imagebind, weaviate, pinecone
- Use Cases
- visual-search, e-commerce-discovery, media-asset-management, multimodal-rag
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- semantic-search, embedding-generation
- Supported Agents
- search-agent, claude-code
- Tags
- multimodal, retrieval, clip, image-text, embedding
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
55.2Adoption
62
Quality
82
Freshness
88
Citations
56
Engagement
0