# Vector-Knowledge-Base

> Vector-Knowledge-Base — i3t4an-vector-knowledge-base. Use this tool when you need to transform documents into a searchable knowledge base, or when you want to leverage AI-powered semantic search to uncover insights and relationships within your data. It solves problems related to information retrieval, document management, and knowledge discovery, and accepts document inputs to produce searchable vector embeddings as output. Ideal for use cases where traditional search methods fall short, such as complex research or large-scale data analysis.

Canonical page: https://skillsregistry.net/skills/i3t4an-vector-knowledge-base  
JSON: https://api.skillsregistry.net/v1/skills/i3t4an-vector-knowledge-base

## Description

A semantic search engine that transforms your documents into an intelligent, searchable knowledge base using vector embeddings and AI

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/i3T4AN/Vector-Knowledge-Base)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "i3t4an-vector-knowledge-base"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/i3t4an-vector-knowledge-base` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/i3t4an-vector-knowledge-base/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt