Grepai Ollama Setup
This walks you through getting Ollama running as your local embedding provider for GrepAI, which means your code never hits an API. It covers installation across macOS, Linux, and Windows, then shows you how to pull nomic-embed-text (the recommended 768-dimension model at 274MB) and verify everything works with a quick curl test. The guide is thorough on the basics like starting the service, checking if it's running, and troubleshooting connection refused errors. If you want private code search without API costs or network latency, this gets you from zero to a working local setup in about five minutes.
- skills.sh installs
- 808
- GitHub stars
- 20
- last updated
- Aug 21, 2026
Install
$ npx -y skills add yoanbernabeu/grepai-skills --skill grepai-ollama-setup --agent claude-codeInstalls into .claude/skills of the current project.
Files
Ollama Setup for GrepAI
This skill covers installing and configuring Ollama as the local embedding provider for GrepAI. Ollama enables 100% private code search where your code never leaves your machine.
When to Use This Skill
- Setting up GrepAI with local, private embeddings
- Installing Ollama for the first time
- Choosing and downloading embedding models
- Troubleshooting Ollama connection issues
Why Ollama?
| Benefit | Description |
|---|---|
| 🔒 Privacy | Code never leaves your machine |
| 💰 Free | No API costs |
| ⚡ Fast | Local processing, no network latency |
| 🔌 Offline | Works without internet |
Installation
macOS (Homebrew)
# Install Ollama
brew install ollama
# Start the Ollama service
ollama serve
macOS (Direct Download)
- Download from ollama.com
- Open the
.dmgand drag to Applications - Launch Ollama from Applications
Linux
# One-line installer
curl -fsSL https://ollama.com/install.sh | sh
# Start the service
ollama serve
Windows
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- Repository
- github.com/yoanbernabeu/grepai-skills
- Category
- AI & Agent Building
- First seen
- May 16, 2026
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