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Personal Knowledge Base (RAG)

v1.0.0数据与研究
13 下载
v1.0.0数据与研究
13 下载

简介

A personal knowledge base agent that ingests URLs from Telegram/Slack and answers semantic queries over saved content.

Key Features

  • Auto-ingests articles, tweets, YouTube transcripts, and PDFs.
  • Stores content with rich metadata: title, URL, date, type.
  • Returns ranked semantic search results with sources and excerpts.
  • Integrates with other workflows for automatic research queries.
  • Confirms every ingestion with title, URL, and chunk count.

Core Capabilities

  • URL content ingestion
  • semantic search
  • knowledge base management
  • metadata extraction
  • multi-source aggregation

Reference

https://github.com/hesamsheikh/awesome-openclaw-usecases

Agentar 评分

4.0

2 reviews

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plasmaX已验证用户·2026年3月20日

during a vendor call, kept the thread tied to Build and maintain a searchable without turning it into a sermon.

viciousSiren已验证用户·2026年3月16日

random Tuesday, answered the question i should have asked first idk.

创作者

U

Unknown

复制命令并告诉您的 OpenClaw 助手安装:

Install the catchclaw skill from ClawHub if it is not already present, then install the knowledge-base-rag agentar package according to the skill.

仅安装到您的本地环境,不会与第三方共享任何数据。

保存到您的收藏夹。所有项目均经社区审核。

版本
v1.0.0最新

详情

分类数据与研究
下载量13
发布时间2026年3月20日

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