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Vector databases and semantic search v1.0.0

Use this resource to design the vector storage and semantic search of an application

New

  • 483 downloads
  • 198 likes
  • 150 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install vector-search-architecture

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 picks the vector database, defines indexes and the embedding strategy, then designs similarity search. You get a semantic search architecture suited to a RAG system or a recommendation engine.

Mostly picked by

Updated November 2, 2026

Card for the “Vector databases and semantic search” skill

Details

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

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What you get

  • SKILL.md: capabilities and approach to vector storage design
  • SKILL.md: indexing, embedding and semantic retrieval best practices

Good fit for

  • You are building an assistant that queries your documents (RAG)
  • You want recommendations of similar products

Not for

    Tags

    • vector databases
    • rag
    • semantic search

    About

    You say

    “Design semantic search over our document base with pgvector inside PostgreSQL.”

    Card for the “Vector databases and semantic search” skill

    Skill published by rmyndharis 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 design the vector storage and semantic search of an application
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.2 KB

    Origin and licence

    Listed unmodified

    Author
    rmyndharis
    Source
    github.com/rmyndharis/antigravity-skills/tree/364ea63c190fcf7cac035f7fa91f0406fa392584/skills/vector-database-engineer
    Licence
    MIT

    Notice

    « vector-database-engineer » (rmyndharis, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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