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Volcengine Ai Search Rag

该工具基于火山引擎AI栈实现检索优先的RAG工作流，分为语料索引、top-k检索、grounding回答三阶段。核心功能包括制定分块策略、生成嵌入构建索引、带过滤的上下文检索、生成带引用的答案，还会返回置信度及无匹配时的 fallback方案，适用于嵌入搜索、文档索引、检索调优场景。

cinience
cinience
热度 80.30
最近更新 2026-05-11 16:23:40
分类：搜索依赖：第三方 API / 内部调用大模型 / 读写文件应用场景：研究 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add volcengine-ai-search-rag
Metadata
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