Qdrant Multitenancy

Qdrant Multitenancy is an AI Engineering skill for Claude Code, published by qdrant in skills.

230 stars28 forkson qdrant/skillsAdded 2026/09/03Repository updated 2026/09/02

agent-skillsai-agentsclaude-codecodexcursorembeddingshybrid-searchmonitoringmultitenancyperformanceqdrantquantizationscalingsearch-qualityvector-databasevector-search

Install in seconds

Install Qdrant Multitenancy

Copy Qdrant Multitenancy into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/qdrant/skills/tree/main/skills/qdrant-multitenancy ~/.claude/skills/qdrant-multitenancy

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/qdrant/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/qdrant-multitenancy/SKILL.md in qdrant/skills
Installs to: ~/.claude/skills/qdrant-multitenancy
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2793 skills

What Qdrant Multitenancy does

Qdrant Multitenancy guides how to isolate tenant data in Qdrant for multi-user search and RAG systems. It covers payload partitioning, custom sharding, collection-per-tenant cases, and data residency planning.

Qdrant Multitenancy is cataloged under AI Engineering on DirSkills. Qdrant Multitenancy comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.

Documentation

README

Excerpt

Qdrant Multitenancy

Multitenancy is how you isolate data across multiple users or tenants within a single Qdrant deployment.

The question to ask is: how many tenants, and how unevenly sized are they? That answer picks the isolation strategy.
Understand the three isolation levels before choosing: payload-based, shard-based and collection-based.
For almost everyone the right default is a single collection partitioned by payload, NOT a collection per tenant.

Many Small Tenants (Default: Payload Partitioning)

Use when: you have many tenants of roughly similar, modest size. This is the recommended default for most users.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Qdrant Multitenancy

What else does qdrant publish alongside Qdrant Multitenancy?
Qdrant Multitenancy is one of 25 skills that DirSkills catalogs from qdrant/skills, the repository it ships in. Its siblings there include Qdrant Advisor, Qdrant Clients SDK and Qdrant Deployment Options. Each one is a separate skill with its own page in this directory, installs the same way Qdrant Multitenancy does, and is maintained by qdrant in that same repository. The rest of the collection is listed on the qdrant/skills page.
How does Qdrant Multitenancy compare to other AI Engineering skills?
Qdrant Multitenancy ranks #2481 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Qdrant Multitenancy against them. Open each page to compare what they document and how they install.