Hex clusters Discworld's stories.
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Updated
Apr 11, 2022 - Python
Hex clusters Discworld's stories.
Evaluating the Python library Annoy for similarity search
An advertisement system based on Java spring cloud microservices and C++ FAISS embedding search
Final project for the master's degree in Computer Science course "Cloud Computing" at the University of Rome "La Sapienza" (A.Y. 2022-2023)
Private self-improvement coaching with open-source LLMs
Developed an Azure OpenAI-based RAG email marketing platform with a Streamlit frontend and FIASS vector database for similarity search. The platform processes multiple input formats, including CSV, PDF, text, and PPT, and incorporates product descriptions and sales data to generate creative content and matplotlib graphs based on the input data.
ultra fast, thread and process safe, easily queryable Indexes for Python.
Notebook to enrich clustering going a little bit beyond Sklearn
Semantic Desktop Search - search for answers not the file names
Flask-based web application designed for similarity searches on news articles, which can be generalized to any text corpus. Input a paragraph or url and returns the most similar news articles from the database.
Python full-stack application that leverages technologies such as Python, PyPDF2, Langchain, Firebase, Lottie, Faiss, Hugginface embedding models, and Streamlit to facilitate multi-PDF analysis through natural language processing, providing users with a seamless and intuitive experience for processing PDFs and obtaining content-related insights
It allows users to upload PDFs and ask questions about the content within these documents.
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