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Vector Space Explorer

An interactive Streamlit application to explore, visualize, and analyze high-dimensional vector spaces derived from text documents, with a focus on the aeronautics domain.

Next Features to add

  • Convert documents to embeddings & store with ChromaDB
  • Import & manage vector databases
  • Cluster vectors using KMeans, HDBSCAN
  • Search for nearest neighbors of new queries

Installation

python3.10 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Usage

streamlit run app.py

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Explore, analyse and visualize your vector space

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