This is a search engine on the *Gutenberg Project archive. It is implemented with python and the front end part is handled with Flask framework.

Demo: search.gkos.dev

It is consisted of 2 basics elements:

The first one is the BuildIndex.py which scans the archive and creates an Inverted File and a file with the Document Names. I am using 3-in-4 Front Coding compression.

The second part is the index.py(or QueryIndex.py as it was originally named). Through the front-end part(form.html) the user enters the keywords. The index.py is called which searches inside the inverted file using tf*idf. The results are separated in two parts: All the documents the keywords found in and the documents in which the keywords were found as a phrase. Then the results are being printed firstly including all the documents and secondly the top 10 documents based on the tf*idf.