AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying.
Skill by lilinji
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/lilinji-agentdb-vector-search
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, ml
Reviews
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What's inside
- Skill name
AgentDB Vector Search- Description
- Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
- License
- unknown
- Instructions
- 336 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "AgentDB Vector Search" does not match folder "AgentDB-Vector-Search"
Files (2)
- SKILL.md
- metadata.json
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 16
- Forks
- 3
- Open issues
- 1
- Last commit (this folder)
- Aug 21, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/lilinji/GeneTind-Life-Skills
- Website
- www.genetind.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
AgentDB Vector Search skill. Agent Mart. https://agentmart.dev/skills/lilinji-agentdb-vector-search (last updated 2026-10-24)