Build a search engine using FAISS (Facebook AI Similarity Search) that can help us find the most related book to our quotes or queries, both in English books and Italian.
pip install -r requirements.txtTwo datasets that contains a books in two different languages, english and italian.
A sentence-transformers model that maps sentences to a 768 dimensional dense vector space and was designed for semantic search.
Checkpoint: sentence-transformers/multi-qa-mpnet-base-dot-v1
- English 🇺🇸
- Italian 🇮🇹
The performance was so good, the experiment was conducted on a single quote in two different languages, and the resulting books were related very well to the entered quote.