Ollama Embeddings

Generate embeddings using locally-hosted Ollama models

Overview

Ollama allows you to run embedding models locally on your machine with no API costs.

Quick Start

from praisonaiagents import embedding

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

CLI Usage

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

Setup

1. Install Ollama: https://ollama.ai
2. Pull an embedding model:

ollama pull nomic-embed-text

Available Models

Model	Dimensions	Size
ollama/nomic-embed-text	768	274MB
ollama/mxbai-embed-large	1024	669MB
ollama/all-minilm	384	45MB
ollama/snowflake-arctic-embed	1024	669MB

Custom API Base

from praisonaiagents import embedding

result = embedding(
    input="Hello world",
    model="ollama/nomic-embed-text",
    api_base="http://localhost:11434"
)

Batch Embeddings

from praisonaiagents import embedding

texts = ["Document 1", "Document 2", "Document 3"]
result = embedding(
    input=texts,
    model="ollama/nomic-embed-text"
)
print(f"Generated {len(result.embeddings)} embeddings")

Related

• Embedding Providers Overview
• HuggingFace Embeddings