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IngestAI/embedditor

IngestAI/embedditor

Stars: 179

Forks: 13

Pull Requests: 57

Issues: 1

Watchers: 2

Last Updated: 2023-06-23 09:19:13

#embeddings #llm #vector-database #vector-search #vectorization #datascience #ml #nlp #nltk #markup-language #veml #datapreprocessing #embedding-vectors #genai

⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.

License: GNU Affero General Public License v3.0

Languages: Dockerfile, PHP, Shell, Blade

https://embedditor.ai

Embedditor is the open-source MS Word equivalent for embedding that helps you get the most out of your vector search.

PHP version Laravel version

Website • Discord • Twitter • Documentation • Try demo on IngestAI

Get the most out of your vector search

Embedditor is an open source embedding pre-reprocessing editor, that helps you edit GPT / LLM embeddings just as if it's a Microsoft Word document, so you can get the most out of your vector search, while significanty reducing costs of embedding and vector storage.

Join Our Community

Stargazers repo roster for @embedditor/embedditor

Features

Rich editor Interface

  • ⚡ Join and split one or multiple chunks with a few clicks
  • ⚡ Edit embedding metadata and tokens
  • ⚡ Exclude words, sentences, or even parts of chunks from embedding
  • ⚡ Select the parts of chunk you want to be embedded
  • ⚡ Add additional information to your mebeddings, like url links or images
  • ⚡ Get a nice looking HTML-markup for your AI search results
  • ⚡ Save your pre-processed embedding files in .veml or .jason formats

Pre-processing automation

  • ⚡ Filteer our from vectorization most of the 'noise', like punctuations or stop-words
  • ⚡ Remove from embedidng unsignificant, requently used words with TF-IDF algorithm
  • ⚡ Normalize your embedding tokens before vectorization

Benefits

Rich Spreadsheet Interface

  • ⚡ Optimized relevance of the content retrieved from a vector database
  • ⚡ Improved efficiency and accuracy in your AI / LLM-related applications
  • ⚡ Visually better looking search results with images, url links, etc
  • ⚡ Increased cost-efficiency with up to 30% cost-reduction on embedding and vector storage
  • ⚡ Full control over your data, effortlessly deploying Embedditor locally on your PC or dedicated envirement
  • ⚡ Save your pre-processed or ready embeddings in .json or .veml format to use it in LangChain, Chromat or any other Vector DB

Quick try

Sign up for free and try it in IngestAI.

GUI

Access Dashboard using: http://localhost:8080/

Screenshots

1 2 3 4

Installation

  1. Copy .env.example into .env

  2. Set the following settings in the .env

    OPENAI_API_KEY=

  3. Setup the project

  • php artisan migrate
  • php artisan db:seed

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