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qdrant

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

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ThinkfleetAI/thinkfleet-engine
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February 1, 2026 at 16:21
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name
qdrant
description
Manage Qdrant vector database — collections, points, and vector search via the REST API.
metadata
{"thinkfleetbot":{"emoji":"🎯","requires":{"bins":"[Truncated]","env":"[Truncated]"}}}
# Qdrant Manage collections, points, and vector search. ## Environment Variables - `QDRANT_URL` - Qdrant instance URL - `QDRANT_API_KEY` - API key ## List collections ```bash curl -s -H "api-key: $QDRANT_API_KEY" \ "$QDRANT_URL/collections" | jq '.result.collections[] | {name}' ``` ## Get collection info ```bash curl -s -H "api-key: $QDRANT_API_KEY" \ "$QDRANT_URL/collections/COLLECTION_NAME" | jq '.result | {vectors_count, points_count}' ``` ## Search vectors ```bash 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 ```bash 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.
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