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Local Ollama embeddings for GrepAI v1.0.0

Use this resource to generate GrepAI embeddings locally with Ollama

New

  • 446 downloads
  • 241 likes
  • 215 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install grepai-ollama-embeddings

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 sets Ollama as the embeddings provider, picks a suitable model, downloads it and configures the server address. It also helps solve connection and speed problems. You get private search, where your code never leaves your machine.

Mostly picked by

Updated November 2, 2026

Card for the “Local Ollama embeddings for GrepAI” skill

Details

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

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What you get

  • SKILL.md: basic configuration and custom endpoint
  • SKILL.md: model choice, performance and troubleshooting

Good fit for

  • Your code must not leave your machine
  • You want embeddings without API costs

Not for

    Tags

    • grepai
    • ollama
    • embeddings
    • local

    About

    You say

    “Set up GrepAI with Ollama locally and suggest an embeddings model that suits my computer.”

    Card for the “Local Ollama embeddings for GrepAI” skill

    Skill published by yoanbernabeu 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 generate GrepAI embeddings locally with Ollama
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.7 KB

    Origin and licence

    Listed unmodified

    Author
    yoanbernabeu
    Source
    github.com/yoanbernabeu/grepai-skills/tree/382d40261c0d41109c6e11872574ba0be9b064d0/skills/embeddings/grepai-embeddings-ollama
    Licence
    MIT

    Notice

    « grepai-embeddings-ollama » (yoanbernabeu, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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