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n8n-nodes-wcea-embeddings

v1.0.3-alpha-9

Published

5 months ago

n8n node for WCEA Embeddings API with encoding format selection, specifically design for Supabase

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n8n-community-node-package n8n-node n8n embeddings ai machine-learning

n8n-nodes-lmstudio-embeddings

A community n8n node for generating embeddings through LM Studio API with encoding format selection. (Specifically designed to operate with Supabase Vector Store)

Description

This package provides an n8n node for integration with LM Studio - a local system for running large language models. The node allows generating vector representations (embeddings) of text that can be used for semantic search, recommendation systems, and other machine learning tasks.

Features

🤖 Generate embeddings through LM Studio API
🎯 Automatic loading of available models
📊 Support for different encoding formats (float, base64)
🔧 Simple configuration via n8n credentials
🚀 Support for local and remote LM Studio server

Installation

Through n8n Community Package Manager

Open n8n
Go to settings
Select "Community Nodes"
Install package: n8n-nodes-lmstudio-embeddings-supabase

Known problem

None so far as of version 1.108.2, I welcome all feedback

Usage

Node Parameters

Model: Model for generating embeddings (automatically loaded from LM Studio)
Encoding Format: Format of returned embeddings
- float: Floating point numbers (default)
- base64: Base64 encoding