# qdrant-advanced

> qdrant-advanced — yoder-bawt-qdrant-advanced. Use this tool when you need to efficiently manage and query large datasets of vector embeddings, solving problems such as similarity search, clustering, and semantic retrieval. It provides advanced operations for AI agents, accepting vector inputs and returning relevant results, enabling applications like image and text search. Ideal for use cases requiring fast and accurate nearest-neighbor searches in high-dimensional vector spaces.

Canonical page: https://skillsregistry.net/skills/yoder-bawt-qdrant-advanced  
JSON: https://api.skillsregistry.net/v1/skills/yoder-bawt-qdrant-advanced

## Description

Advanced Qdrant vector database operations for AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** database
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/yoder-bawt-qdrant-advanced)

## 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": "yoder-bawt-qdrant-advanced"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yoder-bawt-qdrant-advanced` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yoder-bawt-qdrant-advanced/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