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vector-db-launch矢量数据库启动

Agent Skill

用于搭建或维护带检索增强的 RAG 工作流,适合让 Agent 处理知识库问答、向量检索、来源引用和事实核查。它可以辅助整理数据接入、Embedding、向量库、召回参数和回答生成流程。使用时需要确认数据来源、更新频率、召回阈值和引用展示方式,避免把未命中的资料或过期内容包装成确定事实。

总安装

539

周安装

22

GitHub Stars

2

下载量

172
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vector-db-launch(矢量数据库启动)
来源仓库:https://github.com/richfrem/agent-plugins-skills
仓库路径:skills/vector-db-launch
安装命令:
npx skills add https://github.com/richfrem/agent-plugins-skills --skill vector-db-launch
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/richfrem/agent-plugins-skills --skill vector-db-launch

简介

用于搭建或维护带检索增强的 RAG 工作流,适合让 Agent 处理知识库问答、向量检索、来源引用和事实核查。它可以辅助整理数据接入、Embedding、向量库、召回参数和回答生成流程。

  • 适用于服务启动配置、容器编排部署或集群资源调度等运维场景。
  • 通过 GitHub 仓库安装,使用 npx skills add 命令添加指定技能。
  • 使用时需要确认数据来源、更新频率、召回阈值和引用展示方式,避免把未命中的资料或过期内容包装成确定事实。
  • vector-db-launch 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Dependencies

This skill requires Python 3.8+ and standard library only. No external packages needed.

To install this skill's dependencies:

pip-compile ./requirements.in
pip install -r ./requirements.txt

See ./requirements.txt for the dependency lockfile (currently empty — standard library only).


Vector DB Launch (Python Native Server)

ChromaDB provides the vector database backend for semantic search. If configured for Option C (Native Server) in vector_profiles.json, the database must be running as a background HTTP service to be accessed by operations.py.

When You Need This

  • RAG ingest fails with connection refused to 127.0.0.1:8110
  • Semantic search hangs or fails to connect
  • The user has explicitly selected Option 2 (Python Native Server) during vector-db-init

Pre-Flight Check

# Check if ChromaDB is already running
curl -sf http://127.0.0.1:8110/api/v1/heartbeat > /dev/null && echo "✅ ChromaDB running" || echo "❌ ChromaDB not running"

If it prints "✅ ChromaDB running", you're done. If not, proceed.

Launching the Server (Native Python)

The ChromaDB server runs as a background Python process.

It binds to the ${chroma_host}:${chroma_port} defined in your active profile inside .agent/learning/vector_profiles.json (defaults to 127.0.0.1:8110). Its data volume is mounted from the path defined by the profile's ${chroma_data_path}.

Step 1: Start the Service via CLI

Instruct the user to start the server as a background process using nohup or & so it does not block their terminal. Example:

chroma run --host 127.0.0.1 --port 8110 --path .vector_data &

Step 2: Verify Connection

After the user confirms the server is running, verify it via API:

curl -sf http://127.0.0.1:8110/api/v1/heartbeat

It should return a JSON response containing a timestamp {"nanosecond heartbeat":...}.


Troubleshooting

SymptomFix
chroma: command not foundThe user hasn't run the vector-db-init skill yet. Run it to pip install chromadb.
Port 8110 already in useAnother process (or zombie chroma process) is using the port. lsof -i:8110 to find and kill it.
Permission Denied for data directoryEnsure the user has write access to the .vector_data directory.

Alternative: In-Process Mode

If the user decides they do not want to run a background server, you can instruct them to set chroma_host to an empty string "" in their profile in .agent/learning/vector_profiles.json.

The operations.py library will automatically fallback to "Option A" (PersistentClient) and initialize the database locally inside the python process without needing this skill.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.33%
按下载量换算64

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30.18%
按下载量换算52

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20.22%
按下载量换算35

Gemini CLI

8.63%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/richfrem/agent-plugins-skills --skill vector-db-launch 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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