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Documentation Index

Fetch the complete documentation index at: https://docs.praison.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

LM Studio provides a user-friendly interface for running embedding models locally.

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Quick Start

from praisonaiagents import embedding

result = embedding(
    input="Hello world",
    model="lm_studio/nomic-embed-text",
    api_base="http://localhost:1234/v1"
)
print(f"Dimensions: {len(result.embeddings[0])}")

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CLI Usage

praisonai embed "Hello world" --model lm_studio/nomic-embed-text

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Setup

  1. Download and install LM Studio from https://lmstudio.ai
  2. Load an embedding model
  3. Start the local server
export LM_STUDIO_API_BASE="http://localhost:1234/v1"