rerank

🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

AI模型接口管理与分发系统，支持将多种大模型转为统一格式调用，支持OpenAI、Claude等格式，可供个人或者企业内部管理与分发渠道使用，本项目基于One API二次开发。🍥 The next-generation LLM gateway and AI asset management system supports multiple languages.

llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2

gpt_server是一个用于生产级部署LLMs、Embedding、Reranker、ASR和TTS的开源框架。

rerank library for easy reranking of results

A BM25 Java implementation using streams, stop words and stemming.

基于FastAPI的文本嵌入向量生成API， 处理Embedding+Rerank模型，兼容OpenAI、硅基流动格式

Rapid Deployment of LLM and Embedding Based on VLLM Using Docker

Automated fact-check

SearchAugmentedLLM empowers LLMs with information from the web

A comprehensive RAG FastAPI service that handles document uploads and retrievals, built with Python. Uses PyMuPDF for document processing, turbopuffer for vector storage, OpenAI for models, and cohere for reranking.

基于 LangGraph 实现的聊天机器人，接入 DeepSeek、Qwen、智谱 AI 多个 LLM 模型，支持在线搜索和文件解析。

A Python project that deploys a Local RAG chatbot using Ollama API and vLLM API. Refines answers with internal RAG knowledge base, using both Embedding and Rerank models to improve accuracy of context provided to LLM models.

Develop an nlp-based method to predict the affinity between misconceptions and incorrect answers (distractors) in multiple-choice questions.

go client for text-embedding-inference (https://github.com/huggingface/text-embeddings-inference)

rerank技术实战项目（简历项目）

Embedding技术实战项目（简历项目）

Django_MNIST_Web项目（简历项目）

A Python project that deploys a Local RAG chatbot using Ollama API and vLLM API. Refines answers with internal RAG knowledge base, using both Embedding and Rerank models to improve accuracy of context provided to LLM models.

The code features a Rerank RAG developed in the Python programming language.