Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as `qwen3-vl-embedding` for image, video, and text retrieval, cross-mod...
13 installs
Memory
Alibaba Cloud AI Search Text Embedding
Try itUse when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vector...
What it does
Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vector...
The skill document
Category: provider
Model Studio Text Embedding
Validation
mkdir -p output/aliyun-qwen-text-embedding
python -m py_compile skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py && echo "py_compile_ok" > output/aliyun-qwen-text-embedding/validate.txt
Pass criteria: command exits 0 and output/aliyun-qwen-text-embedding/validate.txt is generated.
Critical model names
Use one of these exact model strings as needed:
text-embedding-v4text-embedding-v3text-embedding-v2text-embedding-v1qwen3-embedding-8bqwen3-embedding-4bqwen3-embedding-0.6b
Quick start
python skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py \
--text "Alibaba Cloud Model Studio" \
--output output/aliyun-qwen-text-embedding/request.json
Notes
- Pair this skill with
skills/ai/search/aliyun-dashvector-search/or other vector-store skills. - For image or multimodal embeddings, add dedicated multimodal embedding coverage separately.
References
references/sources.md
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