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

An overview of popular reranking models and architectures for 2 stage RAG pipelines

Dual Cross Encoder for Dense Retrieval

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

Reranking and result fusion for search and RAG pipelines

Semantically Search Emojis From the Command Line!

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

Semantic Emoji Search Plugin for FiftyOne

🚀 Production-ready modular RAG monorepo: Local LLM inference (vLLM) • Hybrid retrieval with Qdrant • Semantic caching • Docling document parsing • Cross-encoder reranking • DeepEval evaluation • Full observability with Langfuse • Open WebUI chat interface • OpenAI-compatible API • Fully Dockerized

A genral RAG Search chatbot, with SoTA RAG techniques such as HyDE, Hybrid retrieval with BM25 + RRF and Cross encoder reranking. Evaluated on the BEIR scifact dataset and compared all the different pipelines i tried along the way

AI-Resume is a containerized web application that acts as your digital professional proxy. Transform your CV into a conversational agent.

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

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.

A hybrid Research Assistant that combines an exact Knowledge Graph (Neo4j) with a Retrieval‑Augmented Generation pipeline (FAISS + Cross‑Encoder + FLAN‑T5) behind a sleek Streamlit interface.

LLM Banking Compliance Assistant is a production-grade RAG application for querying financial and regulatory documents with high accuracy and verifiable citations. It combines semantic search, cross-encoder reranking, and GPT-4o-mini generation to deliver domain-specific answers to complex banking compliance questions

Air-gapped, production-ready RAG workspace featuring hybrid search, semantic reranking, cross-encoder reranking, and verifiable citations.

Leveraging torch.compile to accelerate cross-encoder inference

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

End-to-end PDF RAG: FastAPI + Streamlit UI, Qdrant, and RAG workflows powered by LangChain/LangGraph. Dockerized with caching, optional GPU, and Prometheus/Grafana/Loki.

A multi-stage Information Retrieval system for historical newspapers (1800-1920). Features BM25/TF-IDF baselines, neural cross-encoders for re-ranking and temporal/entity-based heuristics to handle noisy OCR data.

Advance RAG is an enterprise-grade RAG system built on HippoRAG, designed for high-accuracy question answering in multilingual environments. It combines knowledge graph-based retrieval, hybrid search strategies, and advanced query processing to deliver precise, source-cited responses.

AI-powered document originality and plagiarism risk detection system combining semantic similarity (SBERT), stylometric analysis, and citation masking for explainable, multi-layered originality scoring.

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

PastProof AI – ML core for automated fact-checking: ingests raw text, finds evidence in a custom corpus, and returns only the false claims it can refute, together with supporting passages and (optionally) an LLM explanation.

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

🔍 Intelligent semantic search for email archives using RAG, multilingual embeddings, and FAISS. Ask natural questions, get instant answers from your Gmail inbox.

An AI analyst with a hybrid LLM architecture 🤖. Uses a fine-tuned Phi-3 Mini (3.8B) for local RAG answer generation & Gemini 1.5 Pro for query analysis of SEC filings (AAPL, MSFT, GOOG, AMZN, META).

An offline RAG system that bridges Vietnamese-English medical knowledge. Ask questions in Vietnamese, get answers from English medical literature—translated back to Vietnamese. Built for doctors, students, and health enthusiasts who need quick access to medical information while maintaining complete data privacy.