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

PalateKit

Menu

Request a resource

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

0 / 280

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.

MongoDB Atlas Vector Search: index and hybrid v1.0.0

Use this resource to add vector search to a MongoDB Atlas database

New

  • 401 downloads
  • 148 likes
  • 118 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mongodb-atlas-vector-search

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 defines the vector index in JSON, writes the $vectorSearch aggregation with its filters and combines text search with $rankFusion. You get semantic search inside Atlas, without a separate vector database.

Mostly picked by

Updated November 2, 2026

Card for the “MongoDB Atlas Vector Search: index and hybrid” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: index definition and creation with PyMongo
  • SKILL.md: $vectorSearch stage, quantization and batch inserts
  • SKILL.md: hybrid search with $rankFusion and Atlas Triggers

Good fit for

  • Your documents already live in MongoDB Atlas and you want semantic search
  • You want to avoid syncing a separate vector database

Not for

    Tags

    • mongodb
    • atlas
    • vector
    • vectorsearch
    • hybrid search

    About

    You say

    “Create a vector index on the embedding field of my products collection and write a $vectorSearch query filtered by category.”

    Card for the “MongoDB Atlas Vector Search: index and hybrid” skill

    Skill published by claude-dev-suite 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 add vector search to a MongoDB Atlas database
    3. Review and adjust the result

    Content preview

    Files

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

    Origin and licence

    Listed unmodified

    Author
    claude-dev-suite
    Source
    github.com/claude-dev-suite/claude-dev-suite/tree/e10ab644ba43abe2abc923399226df4af7337214/skills/vector-stores/mongodb-atlas-vector
    Licence
    MIT

    Notice

    « mongodb-atlas-vector » (claude-dev-suite, 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.