grepai-embeddings-lmstudiolisted

# GrepAI Embeddings with LM Studio This skill covers using LM Studio as the embedding provider for GrepAI, offering a user-friendly GUI for managing local models. ## When to Use This Skill - Want local embeddings with a graphical interface - Already using LM Studio for other AI tasks - Prefer visual model management over CLI - Need to easily switch between models ## What is LM Studio? LM Studio is a desktop application for running local LLMs with: - 🖥️ Graphical user interface - 📦 Easy model downloading - 🔌 OpenAI-compatible API - 🔒 100% private, local processing ## Prerequisites 1. Download LM Studio from [lmstudio.ai](https://lmstudio.ai) 2. Install and launch the application 3. Download an embedding model ## Installation ### Step 1: Download LM Studio Visit [lmstudio.ai](https://lmstudio.ai) and download for your platform: - macOS (Intel or Apple Silicon) - Windows - Linux ### Step 2: Launch and Download a Model 1. Open LM Studio 2. Go to the **Search** tab 3. Search for an embedding model: - `nomic-embed-text-v1.5` - `bge-small-en-v1.5` - `bge-large-en-v1.5` 4. Click **Download** ### Step 3: Start the Local Server 1. Go to the **Local Server** tab 2. Select your embedding model 3. Click **Start Server** 4. Note the endpoint (default: `http://localhost:1234`) ## Configuration ### Basic Configuration ```yaml # .grepai/config.yaml embedder: provider: lmstudio model: nomic-embed-text-v1.5 endpoint: http://localhost:1234 ``` ### With Custom