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qdrant/skills

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go,

GraphCanon updated today · GitHub synced today

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Forks
15
Open issues
2
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1d
Last push
Python Apache-2.0Created Jan 29, 2026

Trust & integrity

Full report
Maintenance
Very active (1d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Organization account
As of today · Source: github_public_v1
Security (OSV)
No lockfile
As of today · Source: none

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Backing

Company and funding context for Qdrant. Display-only - not part of trust score or organic ranking.

Company
Qdrant·GitHub org profile·today
Funding
$28,000,000 (2024-01)·GraphCanon curated seed (public press)·today
Commercial model
Open core·GraphCanon curated seed·today

Overview

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

Capability facts

Languages
python

Source: github.language · Jul 11, 2026

Categories

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README

Quick Start

The recommended way is the URL method: ask your agent about Qdrant and pass skills.qdrant.tech in your prompt.

"I have 50M vectors on a single node and search is slow, should I add more nodes? Use skills.qdrant.tech"

"My search results are returning irrelevant matches. Use skills.qdrant.tech"

If you use the installation method, just ask your agent about Qdrant. Skills are triggered automatically when your question matches their description.

"I have 50M vectors on a single node and search is slow, should I add more nodes?"
→ qdrant-scaling skill activates, recommends quantization and vertical scaling before adding nodes

"My search results are returning irrelevant matches"
→ qdrant-search-quality skill activates, walks through diagnosis and search strategy options

"How do I switch from OpenAI embeddings to Cohere without downtime?"
→ qdrant-model-migration skill activates, guides zero-downtime migration with dual vectors