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RAG e sistemi di conoscenza · Progetti AI open source su GitHub

Un indice basato sui fatti di progetti di sviluppo LLM, agenti, MCP, RAG e AI, con licenza, configurazione, download, screenshot e risorse correlate per ogni voce.

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Indice del progetto

5 Progetti
Screenshot di LightRAG: Simple and Fast Retrieval-Augmented Generation
RAG e sistemi di conoscenza

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
Screenshot di LanceDB
RAG e sistemi di conoscenza

LanceDB

lancedb/lancedb

An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse designed for fast, scalable, and production-ready vector search, built on the Lance columnar format.

★ 11,1K⑂ 994Rust
Apache-2.0Q98
Screenshot di EvalScope
RAG e sistemi di conoscenza

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
Screenshot di STACKIT RAG Template
RAG e sistemi di conoscenza

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
Screenshot di Infino
RAG e sistemi di conoscenza

Infino

infino-ai/infino

Infino is a fast retrieval engine that executes SQL, full-text search, and vector search over a single copy of data stored natively as Parquet on object storage.

★ 67⑂ 18Rust
Apache-2.0Q89

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