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alicloud-ai-search-text-embedding

alicloud-ai-search-text-embedding

github.com/cinienceData & databases39694 installsUpdated 11w ago
Repository

About alicloud-ai-search-text-embedding

A skill for preparing text embedding requests with Alibaba Cloud Model Studio embedding models. It is intended for text vectorization workflows and can be paired with vector-store skills.

Key features

  1. 01Prepare text embedding requests
  2. 02Support several embedding model families
  3. 03Save request data to a specified output path

Use cases

  1. 01Generate text embeddings for search
  2. 02Prepare vectors for a vector store

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-search-text-embedding

After installing, type/alicloud-ai-search-text-embeddingin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

agents/
openai.yaml
references/
sources.md
scripts/
prepare_embedding_request.py

Details

From the project README

Category: provider

Model Studio Text Embedding

Validation

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

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

Comments

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