thinkfleetai/thinkfleet-engine

qdrant

Manage Qdrant vector database — collections, points, and vector search via the REST API.

First seen Mar 1, 2026

Installation

$ npx skills add thinkfleetai/thinkfleet-engine --skill qdrant

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,318 B
  • docs SUMMARY.md 104 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Qdrant

Manage collections, points, and vector search.

Environment Variables

  • QDRANT_URL - Qdrant instance URL
  • QDRANTAPIKEY - API key

List collections

curl -s -H "api-key: $QDRANT_API_KEY" \
  "$QDRANT_URL/collections" | jq '.result.collections[] | {name}'

Get collection info

curl -s -H "api-key: $QDRANT_API_KEY" \
  "$QDRANT_URL/collections/COLLECTION_NAME" | jq '.result | {vectors_count, points_count}'

Search vectors

curl -s -X POST -H "api-key: $QDRANT_API_KEY" \
  -H "Content-Type: application/json" \
  "$QDRANT_URL/collections/COLLECTION_NAME/points/search" \
  -d '{"vector":[0.1,0.2,0.3],"limit":5,"with_payload":true}' | jq '.result[] | {id, score, payload}'

Upsert points

curl -s -X PUT -H "api-key: $QDRANT_API_KEY" \
  -H "Content-Type: application/json" \
  "$QDRANT_URL/collections/COLLECTION_NAME/points" \
  -d '{"points":[{"id":1,"vector":[0.1,0.2,0.3],"payload":{"text":"example"}}]}' | jq '{status}'

Notes

  • Always confirm before upserting or deleting points.