Information Retrieval System

An Information Retrieval System designed to efficiently store, retrieve, and manage information from large datasets.

Features

Run main_vsm_build.ipynb to add create the tfidf vectorizer for each dataset
Run suggestions_build_tables.ipynb to store the offline suggestions
Run embedding_build.ipynb to train the model and to store the offline models
Run main_antique_evaluation.ipynb to get antique evaluations with embeddings and without
Run main_wiki_evaluation.ipynb to get wikiR evaluations
Run uvicorn main:app --port 8700 --reload to run the Templates

$ python3 -m venv env/python
$ source env/python/bin/activate
$ python3 -m pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
core		core
output/trained_model		output/trained_model
templates		templates
utility		utility
.gitignore		.gitignore
embedding_build.ipynb		embedding_build.ipynb
main.py		main.py
main_antique_evaluation.ipynb		main_antique_evaluation.ipynb
main_vsm_build.ipynb		main_vsm_build.ipynb
main_wiki_evaluation.ipynb		main_wiki_evaluation.ipynb
readme.md		readme.md
requirements.txt		requirements.txt
suggestions_build_tables.ipynb		suggestions_build_tables.ipynb