volcengine-ai-search-rag
Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/cinience/volcengine-ai-search-ragvolcengine-ai-search-rag
Implement retrieval-first answering with explicit indexing, retrieval, and grounding stages.
Execution Checklist
- Confirm corpus source and chunking strategy.
- Generate embeddings and build/update index.
- Retrieve top-k context with filters.
- Build grounded answer with citations to retrieved chunks.
Quality Rules
- Separate retrieval prompt from generation prompt.
- Keep chunk metadata (source, timestamp, id).
- Return confidence and fallback path if no hits.
References
references/sources.md
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-cinience-volcengine-ai-search-rag": {
"enabled": true,
"auto_update": true
}
}
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