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.

modbender 206a8c5 3 files · 1.1 KB Updated 12 repo stars

File contents

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

modbender/skill-library-mcp/tree/main/data/volcengine-ai-search-rag commit 206a8c5359

Frequently asked questions

npx skillmds add modbender/volcengine-ai-search-rag