Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.

Sentence-Transformers Information Retrieval example on Chinese

Dual Cross Encoder for Dense Retrieval

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking (Findings of EMNLP 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.

Semantically Search Emojis From the Command Line!

Livebook to run a Phoenix_LiveView documentation Retrieval-Augmented Generation (RAG) enhanced LLM

Semantic Emoji Search Plugin for FiftyOne

This repository showcases a comprehensive approach to information retrieval, document re-ranking, and language model integration. It incorporates techniques such as document chunking, embedding projection, and automatic query expansion to enhance the effectiveness of information retrieval systems.

This repository hosts the code to launch a streamlit Q&A app that locally uses LLMs in a RAG-Reranker workflow

Official respository for Legal Tutorial in The 14th European Summer School on Information Retrieval

A GenAI based search system that scans numerous fashion product descriptions to recommend suitable options based on user queries.

Timeline Project

TinyBERT-based bi-encoder, cross-encoder, and poly-encoder trained on MS MACRO for passage re-ranking

A Web App for Searching Steam Games

AniSearchModel leverages Sentence-BERT (SBERT) models to generate embeddings for synopses, enabling the calculation of semantic similarities between descriptions. This allows users to find the most similar anime or manga based on a given description.

Repository for the paper - Exploring Argument Retrieval for Controversial Questions Using Retrieve and Re-rank Pipelines

Collection of some of my works during my internship period at Salahkart for preview and educational purpose only.

Baseline models for searching for movie plots from Wikipedia articles. Techniques include BM25 (lexical search), bi/cross-encoding (semantic search), and retrieval-augmented generation (RAG) using Mistal 7B through Fireworks.ai.

Proyek ini merupakan prototipe awal chatbot berbasis AI yang dirancang untuk menyajikan informasi terkait regulasi.