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grepai-embeddings-lmstudio

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Local embeddings via LM Studio GUI.

Software Engineering#local#gui#embedding#model-management#grepai#lmstudio
Authoryoanbernabeu
Version1.0.0
Installs0

System Documentation

What problem does it solve?

GrepAI can leverage LM Studio as a local, private embedding provider with a graphical user interface to manage models and endpoints, enabling on-device text representations without exposing data externally.

Core Features & Use Cases

  • GUI-based embedding management: Install, configure, and switch embedding models directly from LM Studio and reflect changes in GrepAI.
  • Local, private embeddings: Perform embedding generation entirely on the user's machine for privacy-sensitive projects.
  • Easy model switching: Seamlessly swap between embedding models (e.g., nomic-embed-text-v1.5, bge-small-en-v1.5) without code changes.
  • Use Case: Ideal for a secure team indexing a codebase with sensitive data while maintaining full data control.

Quick Start

  1. Launch LM Studio and download a compatible embedding model (e.g., nomic-embed-text-v1.5).
  2. Update GrepAI config to point to LM Studio: embedder: provider: lmstudio model: nomic-embed-text-v1.5 endpoint: http://localhost:1234
  3. Run GrepAI indexing or watch to begin embedding generation against the local server.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: grepai-embeddings-lmstudio
Download link: https://github.com/yoanbernabeu/grepai-skills/archive/main.zip#grepai-embeddings-lmstudio

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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