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.

Embeddings and semantic search v1.0.0

Use this resource to index texts by meaning and retrieve them by similarity

New

  • 427 downloads
  • 102 likes
  • 192 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install vector-embeddings-semantic-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 generates embeddings of your texts, stores them in a persistent HNSW index (sql.js) and runs similarity searches. You get a reusable vector cache for agent memory and pattern matching.

Mostly picked by

Updated November 2, 2026

Card for the “Embeddings and semantic search” skill

Details

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

Similar resources

View all

What you get

  • SKILL.md: initialization, embedding and search commands
  • SKILL.md: normalization, chunking and quantization
  • SKILL.md: integration with agent memory

Good fit for

  • You want to find notes or code by meaning rather than exact words
  • You store a knowledge base that you query by similarity

Not for

    Tags

    • embeddings
    • semantic search
    • vectors
    • memory

    About

    You say

    “Index the docs/ folder and find the passages about billing.”

    Card for the “Embeddings and semantic search” skill

    Skill published by ruvnet 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 index texts by meaning and retrieve them by similarity
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.8 KB

    Origin and licence

    Listed unmodified

    Author
    ruvnet
    Source
    github.com/ruvnet/ruflo/tree/89b0cd02dd99ea1f63437fde6c05992ec53cc22b/.agents/skills/embeddings
    Licence
    MIT

    Notice

    « embeddings » (ruvnet, 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.