Embedditor.ai

Improve your embedding metadata and embedding tokens with a user-friendly UI. Seamlessly apply advanced NLP cleansing techniques like TF-IDF, normalize, and enrich your embedding tokens, improving efficiency and accuracy in your LLM-related applicati

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Embedditor.ai

Introduction

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Overview

Embedditor is an open-source tool that helps optimize vector search by improving embedding metadata and tokens, and providing advanced NLP cleansing techniques.

Features

Improve Embeddings

  • User-friendly UI for improving embedding metadata and tokens
  • Advanced NLP cleansing techniques: TF-IDF, normalize, and enrich embedding tokens

Optimize Vector Search

  • Intelligently split or merge content based on structure
  • Add void or hidden tokens to make chunks more semantically coherent

Security and Control

  • Deploy Embedditor locally on PC or in dedicated enterprise cloud/on-premises environment
  • Full control over data

Cost Savings

  • Filter out irrelevant tokens (stop-words, punctuations, low-relevant frequently words) to save up to 40% on embedding and vector storage costs

Resources

Get Started

  • GitHub repository
  • Docker image
  • Try it for free with IngestAI

Company Information

Contact

  • Address: 651 N Broad St, Middletown, DE, USA, 19709

Links

  • About
  • Docs
  • Community (Discord, Twitter)

Copyright

  • 2025 © IngestAI Labs, Inc.