RAG Ingest

将 Agent 已解读好的正文写入 Qdrant(kb_main)。仅做 chunk、embedding 和向量写入,不负责抓取与精炼。

dvcrn Updated 32 repo stars

File contents

rag-ingest

Usage

# 直接通过 --content 传入正文
node skills/rag-ingest/scripts/ingest.mjs \
  --doc-id "doc-001" \
  --topic-tags "net,security" \
  --content "已解读好的长文本..."

# 从 stdin 读取正文(推荐与 deep-research/summarize 配合)
echo "已解读好的长文本..." | node skills/rag-ingest/scripts/ingest.mjs \
  --doc-id "doc-002" \
  --topic-tags "web,http" \
  --source "https://example.com/article"

Parameters

Param Required Example Description
--doc-id yes doc-001 文档 ID,用于标识/覆盖同一文档
--topic-tags yes net,security 逗号分隔标签,用于检索过滤
--content no "..." 正文;不传时从 stdin 读取
--source no "https://example.com" 来源标识,写入 payload.source
--collection no kb_main Qdrant collection 名称

dvcrn/openclaw-skills-marketplace/tree/main/plugins/seal-re--rag-ingest/skills/rag-ingest commit e4d8bb63d3

Frequently asked questions

npx skillmds@latest add dvcrn/rag-ingest