Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Qdrant vector search engine for production v1.0.0

Use this resource to store vectors with metadata and run filtered searches in Qdrant

New

  • 442 downloads
  • 143 likes
  • 174 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install production-vector-search-qdrant

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent starts Qdrant with Docker, creates a collection, inserts vectors with their payloads and queries the index with filters. You get a vector database ready to scale for a production RAG system.

Mostly picked by

Updated November 2, 2026

Card for the “Qdrant vector search engine for production” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: Docker and Python installation, collection creation and filtered search
  • references/: advanced configuration and troubleshooting

Good fit for

  • You need to filter results by metadata
  • You want a self-hosted vector database that keeps control of your data

Not for

    Tags

    • qdrant
    • vectors
    • rag
    • filtering
    • production

    About

    You say

    “Create a Qdrant collection for our articles and filter results by language.”

    Card for the “Qdrant vector search engine for production” skill

    Skill published by Orchestra Research under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to store vectors with metadata and run filtered searches in Qdrant
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/advanced-usage.md14.6 KB
    • references/troubleshooting.md12.4 KB
    • SKILL.md13.5 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/mlops/qdrant
    Licence
    MIT

    Notice

    « qdrant » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.