using sentence-transformer model for embeddings and streamlit for frontend
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Updated
Jan 14, 2024 - Jupyter Notebook
using sentence-transformer model for embeddings and streamlit for frontend
Exploring topic modeling techniques, sentiment analysis, and classification algorithms using the Kaggle dataset "Tripadvisor Reviews 2023"
最小構成で動く日本語RAGシステム | Minimal Japanese RAG with FastAPI + Chroma + SentenceTransformers + Ollama
AI-powered Book Recommender with Semantic Search, Category Prediction, and Sentiment Analysis using Gradio, ChromaDB, and Transformers.
Simple API to upload images, store them in S3 and find other similar images among the uploaded ones. Created for a take home interview assignment.
Using different technique to deal with Text Classification for Sentimental Analsysi from the a base TF-IDF encoding to pre-trained sentence embeddings.
Simple self-hosted embedding model service
Chatbot to answer question from your own database
This repository is dedicated to exploring and implementing vector-based retrieval methods and reranking algorithms. It includes Jupyter notebooks with practical examples and code snippets that demonstrate how these techniques can be applied for efficient information retrieval in various datasets.
This repository is dedicated to exploring and implementing vector-based retrieval methods and reranking algorithms. It includes Jupyter notebooks with practical examples and code snippets that demonstrate how these techniques can be applied for efficient information retrieval in various datasets.
A compassionate mental health chatbot built using Retrieval-Augmented Generation (RAG). This project leverages advanced natural language processing techniques, including SentenceTransformers, Pinecone for vector storage, and fine-tuned LLaMA 3.3, to provide thoughtful, context-aware, and empathetic responses.
This is a repository for reproducing the results of Continuous sentiment scores for literary and multilingual contexts.
This project implements a semantic search pipeline with a modular MVC architecture. It benchmarks exact search vs approximate nearest neighbor (ANN) methods using FAISS, and provides an interactive CLI to query saved indexes.
An intelligent invoice reimbursement system that analyzes employee invoice reimbursements against company policy using Large Language Models (LLMs) and stores this analysis in a vector database from where a RAG (Retrieval Augmented Generation) LLM chatbot retrieves information about processed invoice based on user query.
FAQ-Bot is a lightweight, semantic search-based chatbot designed to answer frequently asked questions using sentence embeddings. It uses Sentence-Transformers to find the most relevant answer from a set of predefined FAQs.
🤖 A Generative AI chatbot that answers questions from PDFs using FLAN-T5 and sentence-transformers, built with Streamlit.
Progetto volto ad analizzare l'accuratezza delle raccomandazioni prodotte da un RS, a partire da un profilo utente generato da un LLM.
AI-powered Streamlit app to upload multiple resumes, match them to a job description, and rank them using NLP and semantic similarity.
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