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