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Semantic vector search with AgentDB v1.0.0

Use this resource to set up semantic search in an AgentDB database

New

  • 467 downloads
  • 227 likes
  • 210 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install agentdb-semantic-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 initialises the database with the embedding dimension you need, then runs similarity and top-k searches. You get a ready vector database and test queries.

Mostly picked by

Updated November 2, 2026

Card for the “Semantic vector search with AgentDB” skill

Details

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

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What you get

  • SKILL.md : database initialisation and dimension choice
  • SKILL.md : similarity queries and top-k results

Good fit for

  • You are building a RAG system over your documents
  • You search documents by meaning rather than keyword

Not for

    Tags

    • vector search
    • rag
    • embeddings
    • agentdb

    About

    You say

    “Create an AgentDB vector store for our internal guides and query it about refund times.”

    Card for the “Semantic vector search with AgentDB” skill

    Skill published by proffesor-for-testing 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 set up semantic search in an AgentDB database
    3. Review and adjust the result

    Content preview

    Files

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

    Origin and licence

    Listed unmodified

    Author
    proffesor-for-testing
    Source
    github.com/proffesor-for-testing/agentic-qe/tree/b177b2315521376b83f2eed40e4994fd7581d067/.claude/skills/agentdb-vector-search
    Licence
    MIT

    Notice

    « AgentDB Vector Search » (proffesor-for-testing, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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