A tool which can find your any document using semantic search
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Updated
Dec 8, 2022 - Python
A tool which can find your any document using semantic search
PaperLens AI is a full-stack research assistant that helps you analyze papers, ask grounded questions, detect gaps, and generate experiment plans or research problem statements.
A comprehensive demonstration and comparison of different information retrieval methods for RAG (Retrieval-Augmented Generation) systems. This project implements and compares TF-IDF, BM25, and hybrid search algorithms using sample corporate documentation.
Inverted index using NlTK library and Bm25 rank library
Upload your materials, ask questions in text or voice, get AI-powered answers — all through Telegram. Built with RAG, ChromaDB, and Groq.
Multilingual RAG pipeline for Bengali PDF question answering using OCR, LaBSE embeddings, ChromaDB, BM25, and Gemini LLM.
Neurosearch
AI-powered hiring workflow tool to streamline recruitment and candidate management
It identifies songs and artists from lyric snippets using two distinct methods - simple NLP based approach and BM25(Best Match 25) approach.
TalkSmith é um chatbot em Python que responde em português usando recuperação de informação com TF-IDF (uni/bi-grams) e fallback BM25 sobre um corpus local, com normalização (acentos/lematização/stopwords) e interface gráfica em tkinter (dark UI).
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