volcengine-ai-search-rag

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