grepai-ollama-setup

Configure Ollama for private local embeddings in GrepAI.

18|2|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-ollama-setup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: grepai-ollama-setup
Source: https://github.com/yoanbernabeu/grepai-skills/tree/main/skills/getting-started/grepai-ollama-setup
Command: npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-ollama-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables GrepAI to configure Ollama to provide private, local embeddings for code search, ensuring data never leaves the user's machine.

Core Features & Use Cases

  • Installation & setup: Install Ollama on macOS, Linux, or Windows and start the service.
  • Model management: Pull and manage embedding models suitable for code search.
  • GrepAI integration: Configure GrepAI to use Ollama as the embedding provider and verify connectivity.
  • Use Case: A developer sets up a private code search workspace where sensitive code stays on premises.

Quick Start

Install Ollama on your OS, start the service, pull a compatible embedding model, and update the GrepAI config to point to the Ollama endpoint.

Frequently Asked Questions about grepai-ollama-setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up Ollama to provide private local embeddings for code search?▼

To set up private local embeddings, install Ollama on your operating system, start the service, pull a compatible embedding model, and configure your code search application to point to the local Ollama endpoint.

Can I run local embeddings on macOS, Linux, and Windows using Ollama?▼

Yes, Ollama supports local embeddings on macOS, Linux, and Windows. The setup process covers installation, service management, and endpoint configuration across all three operating systems.

What's the best way to configure GrepAI to use Ollama as an embedding provider?▼

The best way to configure GrepAI with Ollama is to update the GrepAI config file to point to the local Ollama endpoint, then verify connectivity to ensure the embedding service is correctly recognized.

How do I pull and manage embedding models suitable for code search with Ollama?▼

You can pull and manage embedding models for code search by using Ollama's command line interface. This involves executing model pull commands and verifying the model is available for local embedding generation.

Why is my Ollama local embedding setup not working?▼

If your Ollama local embedding setup is not working, basic troubleshooting involves checking service management status and verifying endpoint configuration in the CLI and config files to ensure proper connectivity.

Do I need Ollama to keep sensitive code on premises during code search?▼

Yes, configuring Ollama provides private local embeddings ensuring data never leaves your machine. This creates a private code search workspace where sensitive code stays securely on premises.