🧪 Skills
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。
v1.0.0
Description
name: rag-ingest description: 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。 metadata: { "openclaw": { "emoji": "🧠", "requires": { "bins": ["node"], "env": ["QDRANT_URL", "EMBED_API_KEY"] }, "primaryEnv": "QDRANT_URL" } }
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 |
Reviews (0)
Sign in to write a review.
No reviews yet. Be the first to review!
Comments (0)
No comments yet. Be the first to share your thoughts!