reranker

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

AdalFlow: The library to build & auto-optimize LLM applications.

Rust library for generating vector embeddings and reranking locally!

Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.

RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning

Train embedding and reranker models for retrieval tasks on Apple Silicon with MLX

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

Small Language Model Inference, Fine-Tuning and Observability.

A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.

1st Place Solution for Eedi - Mining Misconceptions in Mathematics Kaggle Competition

An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.

Build & Auto-Optimize LLM Apps in 2026: The Ultimate AdalFlow Guide

Airgapped closed-corpus QA loop: a self-hosted Qwen3.6 agent explores a .zip dataroom under a token budget with local tools

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

Find local AI models for your GPU. Open-source VRAM, quantization and speed estimates in your browser — no install or sign-up. 한국어·English.

Private web search MCP: SearXNG metasearch → ML reranking → 4-tier fetch cascade (Firecrawl / Crawl4AI / raw / Wayback) with per-domain learning, Ollama query expansion and synthesis. No cloud APIs.

Production-grade Node.js RAG system with hybrid retrieval, pluggable adapters, and OpenTelemetry tracing

Unified .NET AI library with multi-provider support (OpenAI, Anthropic, Google, DeepSeek, Perplexity) and RAG extensions

An OpenAI Compatible API which integrates LLM, Embedding and Reranker. 一个集成 LLM、Embedding 和 Reranker 的 OpenAI 兼容 API

项目描述：为解决电商客服在物流、售后等高频咨询场景下，人工重复查询、知识定位慢及信息需反复核对等痛点，搭建 Agent 智能客服系统。通过意图分流、业务工具调用与 RAG 知识库检索，完成订单物流查询、售后信息收集和商品问答，提升响应效率与回答准确性。