Information-Retrieval-Project-Museumin

A National Wide Museum Search Engine

Running the Project

1. Clone the data from ./data_1101/, home html file from ./web/, all image and JS file from ./static/,
2. Clone pipeline components, document_preprocessor.py,indexing.py,vector_ranker.py,ranker.py,l2r.py,relevance.py,blocks.py, and fastapi files, models.py,app.py
3. Ensure fastapi library is installed.
4. Run the main script with fastapi dev app.py

Inputs Note

Output list is randomly organized when query is empty and multiple selctions exist.

Demo

Technologies Used

• Langchain
• HuggingFace
• Scikit-Learn
• FastAPI
• JavaScript
• HTML