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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.

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stars:1,933
forks:367
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namevolcengine-ai-search-rag
descriptionRetrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning.

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