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Semantic Search

Exploring semantic simility algorithms in NLP to develop solutions in text search. Rather than looking for text match, look for sentences or phrases with similar meaning.

Setup

  1. Install the dependencies for our code using Conda. You may need to adjust the environment YAML file depending on your setup.

    conda env create -f environment.yaml

  2. Install the CLIP repository

    pip install git+https://github.com/openai/CLIP.git

  3. Download pretrained weights (conceptual_weights.pt) and place them in the weights directory. You can find the COCO and Conceptual Captions pretrained models on Google Drive.

  4. Launch your environment with conda activate understanding or source activate understanding

  5. Place text files to search in data folder

  6. Run python -i main.py to open an interactive Python session. Use the method search to search for phrases and sentences that appear in the text. For example, search("The quick brown fox jumps over the lazy dog").