milvus

20 projetos partilham este topic do GitHub

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

🧬 Membros

Langchain-Chatchat

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的…

★ 38.5k

langchain4j

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It…

★ 12.7k

all-in-rag

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.gith…

★ 9.9k

GPTCache

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

★ 8.1k

deep-searcher

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

★ 8k

towhee

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

★ 3.5k

attu

The Best GUI for Milvus

★ 3.1k

bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video…

★ 2.4k

memsearch

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and…

★ 2.4k

knowhere

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

★ 2.1k

pymilvus

Python SDK for Milvus Vector Database

★ 1.4k

CookHero

CookHero是一个基于 LLM + RAG + Agent + 多模态的智能饮食与烹饪管理平台，支持智能菜谱…

★ 584

EnterpriseAgentFramework

面向 OA、ERP、CRM、工单等企业系统快速构建智能体，让 AI…

★ 516

easy-vecdb

📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.c…

★ 375

ai-playground

📽️ Code from tutorials presented on the "Code AI with Rok" YouTube channel

★ 321

vector-graph-rag

Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.

★ 236

RustyRAG

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching,…

★ 180

stashbase

Turn local files into searchable context for AI agents.

★ 145 · GitHub ↗

Educational_RAG_System

面向教育场景的RAG智能问答系统，融合关键词匹配与语义检索双引擎，融合MySQL和RAG…

★ 122

mfs

A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in…

★ 116

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