alicloud-ai-search-text-embedding

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Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.

6installs
Sourcecinience/alicloud-skills
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NPX Install

npx skill4agent add cinience/alicloud-skills alicloud-ai-search-text-embedding

Tags

Translated version includes tags in frontmatter
text-embeddingalibaba-cloud-model-studiosemantic-searchvectorizationvector-store

SKILL.md Content

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Category: provider

Model Studio Text Embedding

Validation

bash
mkdir -p output/alicloud-ai-search-text-embedding
python -m py_compile skills/ai/search/alicloud-ai-search-text-embedding/scripts/prepare_embedding_request.py && echo "py_compile_ok" > output/alicloud-ai-search-text-embedding/validate.txt
Pass criteria: command exits 0 and 
output/alicloud-ai-search-text-embedding/validate.txt
is generated.

Critical model names

Use one of these exact model strings as needed:
  • text-embedding-v4
  • text-embedding-v3
  • text-embedding-v2
  • text-embedding-v1
  • qwen3-embedding-8b
  • qwen3-embedding-4b
  • qwen3-embedding-0.6b

Quick start

bash
python skills/ai/search/alicloud-ai-search-text-embedding/scripts/prepare_embedding_request.py \
  --text "Alibaba Cloud Model Studio" \
  --output output/alicloud-ai-search-text-embedding/request.json

Notes

  • Pair this skill with 
    skills/ai/search/alicloud-ai-search-dashvector/
    or other vector-store skills.
  • For image or multimodal embeddings, add dedicated multimodal embedding coverage separately.

References

  • references/sources.md