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.
- Updated
Sep 15, 2025 - Python
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
An overview of popular reranking models and architectures for 2 stage RAG pipelines
Livebook to run a Phoenix_LiveView documentation Retrieval-Augmented Generation (RAG) enhanced LLM
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
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
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.
Leveraging torch.compile to accelerate cross-encoder inference
AI-powered document originality and plagiarism risk detection system combining semantic similarity (SBERT), stylometric analysis, and citation masking for explainable, multi-layered originality scoring.
Official respository for Legal Tutorial in The 14th European Summer School on Information Retrieval
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.
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 GenAI based search system that scans numerous fashion product descriptions to recommend suitable options based on user queries.
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.
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).
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