OpenClaw

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.

cinience0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install cinience/volcengine-ai-search-rag

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

volcengine-ai-search-rag

Implement retrieval-first answering with explicit indexing, retrieval, and grounding stages.

Execution Checklist

Confirm corpus source and chunking strategy.
Generate embeddings and build/update index.
Retrieve top-k context with filters.
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

来源信息

Source: github
Repository: openclaw/skills
Path: skills/cinience/volcengine-ai-search-rag
Version: —
Commit: 8fce79eb3a19f406d4fd0020eed84ae96eae4885
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 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`

搜索

volcengine-ai-search-rag

安装与使用

技能说明

volcengine-ai-search-rag

Execution Checklist

Quality Rules

References

来源信息

来源内容

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