AgentDB Vector Search
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.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install ruvnet-claude-flow-agentdb-vector-search
Repository
Skill path: v3/@claude-flow/mcp/.claude/skills/agentdb-vector-search
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.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: ruvnet.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install AgentDB Vector Search into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/ruvnet/claude-flow before adding AgentDB Vector Search to shared team environments
- Use AgentDB Vector Search for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.