bm25

17 projetos partilham este topic do GitHub

Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.

🧬 Membros

infinity

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector,…

★ 4.7k

AdalFlow

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

★ 4.2k

agentic-rag-for-dummies

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

★ 4k

SeekStorm

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

★ 1.9k

bm25s

Fast BM25 search in Python, powered by Numpy and Numba

★ 1.7k

wink-nlp

Developer friendly Natural Language Processing ✨

★ 1.4k

Local_Pdf_Chat_RAG

🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow |…

★ 934

codeseek

Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search…

★ 764

EasyRAG

Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛…

★ 636

mcpproxy-go

Supercharge AI Agents, Safely

★ 305

pmb

Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons…

★ 277

semble_rs

Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency &…

★ 215

Writ

Writ keeps AI coding on your rules. It feeds Claude Code the right coding standards for each task in under a…

★ 164

VectorRAG.Net

VectorRAG.Net is a .NET-native high-performance vector database library for semantic search and RAG…

★ 163

Vera

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with…

★ 106

Vera

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with…

★ 102

AdalFlow-Optimizer

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

★ 55

Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.