SkillHub

volcengine-ai-search-rag

v1.0.0

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.

Sourced from ClawHub, Authored by cinience

Installation

Please help me install the skill `volcengine-ai-search-rag` from SkillHub official store. npx skills add cinience/volcengine-ai-search-rag

volcengine-ai-search-rag

Implement retrieval-first answering with explicit indexing, retrieval, and grounding stages.

Execution Checklist

  1. Confirm corpus source and chunking strategy.
  2. Generate embeddings and build/update index.
  3. Retrieve top-k context with filters.
  4. 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