milosgajdos/embeviz
A simple app for visualising text embeddings
This is a simple web application designed to help you understand your text data better by visualizing its 'embeddings.' You input raw text, and the app uses AI services like OpenAI or Cohere to convert that text into numerical representations. It then displays these representations visually, allowing you to see relationships and clusters within your text. This tool is for data scientists, researchers, or anyone working with large volumes of text who needs to intuitively grasp patterns and similarities in their data.
No commits in the last 6 months.
Use this if you want an intuitive, visual way to explore and understand how your text documents relate to each other based on their semantic meaning.
Not ideal if you need to manage embeddings from many different sources, require a robust, production-ready system, or if you prefer command-line tools over a graphical interface.
Stars
23
Forks
—
Language
Go
License
Apache-2.0
Category
Last pushed
Jul 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/milosgajdos/embeviz"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Azure/azure-search-vector-samples
A repository of code samples for Vector search capabilities in Azure AI Search.
curiosity-ai/catalyst
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's...
supabase/embeddings-generator
GitHub Action to generate embeddings from the markdown files in your repository.
vector-ai/vectorai
Vector AI — A platform for building vector based applications. Encode, query and analyse data...
wagtail/wagtail-vector-index
Store Wagtail pages & Django models as embeddings in vector databases