Semantic search to query covid related papers
Project description
Semantic search with FAISS
The idea of this project is to build a semantic search engine which can search across multiple research papers related to covid and return the response. This can pretty much help many ppl who want to know about ongoing research wrt covid
We have used - retrieval-ranking method with faiss index
for retrieving data for the query.
Web app
Swagger documentation for API
Installation
pip install semantic-search-faiss
Inference example
Try out the inference code either on google colab or kaggle.
Other details
-
Training data can be found on the Kaggle competition page
-
Streamlit app code can be found here.
Kaggle
[https://www.kaggle.com/nandhuelan/semantic-search]
Acknowledgements
We would like to thank Kaggle community as a whole for providing an avenue to learn and discuss latest data science/machine learning advancements but a hat tip to whose code was used / who inspired us.
-
Vladimir Iglovikov for his wonderful article "I trained a model. What is next?"
-
Xhululu for the dataset.
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