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.

Reducing the cost of large Qdrant result sets v1.0.0

Use this resource to reduce the cost of searches with large result sets, pagination or scroll

New

  • 320 downloads
  • 231 likes
  • 134 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install qdrant-large-limit-scroll

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 explains the principle: rather than asking every shard for the full limit, it asks for a smaller limit computed from Poisson statistics, then merges the results. You get a method for handling large limits across several shards.

Mostly picked by

Updated November 2, 2026

Card for the “Reducing the cost of large Qdrant result sets” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

Similar resources

View all

What you get

  • SKILL.md: the reduced per-shard limit principle and when it applies
  • SKILL.md: trade-offs of the approach

Good fit for

  • A search asking for 1,000 results is slow across several shards
  • You page through large volumes of vectors

Not for

    Tags

    • qdrant
    • pagination
    • shards
    • limit
    • scroll

    About

    You say

    “My query asks for 1,000 results across 10 shards, how do I avoid transferring all of them?”

    Card for the “Reducing the cost of large Qdrant result sets” skill

    Skill published by qdrant under the Apache-2.0 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 reduce the cost of searches with large result sets, pagination or scroll
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.4 KB

    Origin and licence

    Listed unmodified

    Author
    qdrant
    Source
    github.com/qdrant/skills/tree/15793b641b7bc85d2e7dc59be1b796381ce715ba/skills/qdrant-scaling/scaling-query-volume
    Licence
    Apache-2.0

    Notice

    « qdrant-scaling-query-volume » (qdrant, Apache-2.0) 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.