hx-qdrant-advisor

Guides Qdrant planning, installation, and validation within HX Eco-System architecture and smoke-test rules.

Updated Sep 9, 2026
One-click install
npx skills add https://github.com/HX-Infratstructure/HX-Eco-System --skill hx-qdrant-advisor-hx-infratstructure
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hx-qdrant-advisor
Source: https://github.com/HX-Infratstructure/HX-Eco-System/tree/main/skills/qdrant/hx-qdrant-advisor
Command: npx skills add https://github.com/HX-Infratstructure/HX-Eco-System --skill hx-qdrant-advisor-hx-infratstructure

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Applying vendor Qdrant guidance inside a governed infrastructure risks overriding owner-approved architecture, deployment standards, and validation criteria. This Skill reconciles live official Qdrant Agent Skills guidance with HX Eco-System authority so Qdrant work on HX-10 stays compliant with native deployment, vector-space integrity, and smoke-test acceptance rules. ## Core Features & Use Cases - Authority-ordered decision making: Applies a strict hierarchy from owner instruction through HX control documents to live Qdrant guidance, classifying each recommendation as ACCEPT, ADAPT, REJECT_FOR_HX, or OWNER_DECISION_REQUIRED. - Live vendor guidance integration: Queries the official Qdrant skill catalog at skills.qdrant.tech for current SDK, scaling, performance, monitoring, and upgrade guidance without vendoring stale copies. - Governed validation workflow: Directs Qdrant BASE PASS validation through the HX smoke-test roadmap covering core vector lifecycle, Web UI proof, MCP companion checks, cleanup, and reboot persistence. - Use Case: When planning the HX-10 Qdrant installation, the Skill loads HX context first, fetches current Qdrant configuration guidance, rejects container-based deployment patterns that conflict with the native systemd standard, and produces an auditable recommendation citing exact runbook and smoke-test authorities. ## Quick Start Ask the agent to plan the HX-10 Qdrant native installation and validation using current official Qdrant guidance while preserving HX architecture decisions.

Frequently Asked Questions about hx-qdrant-advisor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy Qdrant on a native Linux server without Docker?▼

Follow the HX-10 runbook for native Ubuntu installation with systemd, using live Qdrant guidance only for configuration parameters and storage behavior. Container-based deployment patterns from vendor documentation are rejected unless the infrastructure owner explicitly changes the native standard.

How do I validate a Qdrant installation with smoke tests?▼

Follow the layered HX smoke-test sequence: core deterministic vector lifecycle, native Web UI live-state proof, MCP companion discovery with a known-answer tool call, cleanup verification, and reboot persistence. Vendor quickstart health checks cannot replace these acceptance criteria.

Can I mix different embedding models in one Qdrant collection?▼

No, HX policy forbids mixing vectors from different embedding model identities in one collection. BGE-M3 at 1024 dimensions is the primary model and Nomic Embed Text v1.5 is the alternate; a model change requires a new collection and complete re-embedding.

When should vendor Qdrant guidance be rejected for infrastructure work?▼

Reject guidance that conflicts with explicit owner decisions, such as Docker, Kubernetes, Qdrant Cloud, or embedded deployment replacing the HX-10 native placement. Clustering, TLS, firewall, DNS, or storage redesign changes require an explicit owner decision before execution.

How do I get current Qdrant best practices instead of stale documentation?▼

Query the live Qdrant skill catalog at skills.qdrant.tech/search with a short problem description, then follow only the relevant skill branch and canonical documentation links. If live access is unavailable, use the official qdrant/skills repository as fallback and note the guidance may be outdated.