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.
Scanned 9/5/2026
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---
name: volcengine-ai-search-rag
description: "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."
---
# 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`
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