cross-encoder

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.

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

Sentence-Transformers Information Retrieval example on Chinese

Dual Cross Encoder for Dense Retrieval

ARLC 2026 Agentic RAG Legal Challenge — Legal QA pipeline for DIFC court documents. Hybrid BM25 + vector retrieval, cross-encoder reranking, answer-grounded page verification.

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.

Free Perplexity-style web search library for local sLLM. Bing + DuckDuckGo → semantic filtering → reranking → LLM-ready prompt with citations.

Memory-aware context engine for AI coding agents — up to 91% fewer tokens, 17/18 rank-1 across 6 OSS projects. MCP-native, multi-repo, with persistent observations & decisions.

Score your resume against any number of jobs locally — free, explainable, CPU or GPU. Powered by a 156M ModernBERT cross-encoder.

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

FastAPI backend for archive.ire.org

Production-grade hybrid RAG: BM25 + dense retrieval + cross-encoder reranking + LLM-as-Judge

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

Research benchmark: conversational memory learning on a corrected LoCoMo dataset

多模态 RAG 智能体：MCP 协议 + GraphRAG + Cross-Encoder 精排 + 多 Agent 编排 + RAGAS 评估

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.

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

Production-style AI knowledge platform for research papers using FastAPI, React, PostgreSQL/pgvector, Ollama, Docling, hybrid retrieval, cross-encoder reranking, streaming responses, and intent-based query routing.