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.

Running a vector database in production v1.0.0

Use this resource to deploy and optimize a vector database for semantic search

New

  • 496 downloads
  • 132 likes
  • 221 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install vector-database-operations

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 compares vector databases, deploys Qdrant locally with Docker, creates collections and filter indexes, then tunes performance. It separates deployment steps from the performance evidence to provide. You get a vector database configuration and its commands.

Mostly picked by

Updated November 2, 2026

Card for the “Running a vector database in production” skill

Details

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

Similar resources

View all

What you get

  • SKILL.md: database comparison and Qdrant deployment procedure
  • SKILL.md: collection creation, payload indexes and diagnostics

Good fit for

  • You are building semantic search for a RAG system
  • You must isolate several customers' data in one database

Not for

    Tags

    • vector databases
    • qdrant
    • rag
    • semantic search

    About

    You say

    “Set up Qdrant with Docker, a 1536-dimension collection and an index on the client field.”

    Card for the “Running a vector database in production” skill

    Skill published by sickn33 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 deploy and optimize a vector database for semantic search
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.8 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/vector-database-ops
    Licence
    MIT

    Notice

    « vector-database-ops » (sickn33, 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.