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SkillHub ClubAnalyze Data & AIData / AIBackendIntegration

AgentDB Vector Search

Provides vector search capabilities for AgentDB with HNSW indexing, quantization options, and sub-millisecond query times. Includes CLI tools, TypeScript API, MCP server integration, and performance benchmarks showing 150-12,500x speed improvements over traditional solutions.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
0
Hot score
74
Updated
March 20, 2026
Overall rating
A8.3
Composite score
4.9
Best-practice grade
B72.0

Install command

npx @skill-hub/cli install adebold-warehouse-network-agentdb-vector-search
vector-searchragsemantic-searchembeddingsdatabase

Repository

adebold/warehouse-network

Skill path: .claude/skills/agentdb-vector-search

Provides vector search capabilities for AgentDB with HNSW indexing, quantization options, and sub-millisecond query times. Includes CLI tools, TypeScript API, MCP server integration, and performance benchmarks showing 150-12,500x speed improvements over traditional solutions.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Data / AI, Backend, Integration.

Target audience: AI/ML teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: adebold.

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/adebold/warehouse-network before adding AgentDB Vector Search to shared team environments
  • Use AgentDB Vector Search for ai/ml workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

AgentDB Vector Search | SkillHub