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RAG e sistemas de conhecimento · Projetos de AI de código aberto no GitHub

Um índice baseado em fatos de projetos de desenvolvimento de LLM, agentes, MCP, RAG e AI, com licença, configuração, download, capturas de tela e recursos relacionados para cada item.

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Índice do projeto

4 Projetos
Captura de tela de LightRAG: Simple and Fast Retrieval-Augmented Generation
RAG e sistemas de conhecimento

LightRAG: Simple and Fast Retrieval-Augmented Generation

hkuds/lightrag

A lightweight, graph-based retrieval-augmented generation (RAG) framework that uses a dual-layer architecture combining knowledge graphs and vector embeddings to deliver efficient indexing, low-cost incremental updates, and high-quality contextual retrieval.

★ 38,4K⑂ 5,4KPython
MITQ98
Captura de tela de EvalScope
RAG e sistemas de conhecimento

EvalScope

modelscope/evalscope

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

★ 3,2K⑂ 440Python
Apache-2.0Q98
RAG e sistemas de conhecimento

onyx

onyx-dot-app/onyx

A self-hostable team AI platform combining knowledge connectors, retrieval, agents, and research workflows.

★ 32K⑂ 4,4KPython
Licença não detectadaQ90
Captura de tela de STACKIT RAG Template
RAG e sistemas de conhecimento

STACKIT RAG Template

stackitcloud/rag-template

A template for building AI chatbots and document management systems using Retrieval-Augmented Generation (RAG), vector search, and FastAPI, designed for deployment on Kubernetes.

★ 86⑂ 10Python
Apache-2.0Q89

Atualizado recentemente

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