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RAG en kennissystemen · Open-source-AI-projecten op GitHub

Een feitengebaseerde index van LLM-, agent-, MCP-, RAG- en AI-ontwikkelingsprojecten, met licentie-, installatie-, download- en screenshotinformatie en gerelateerde bronnen voor elke vermelding.

Openbare repositorygegevens

Projectindex

3 Projecten
Schermafbeelding van LightRAG: Simple and Fast Retrieval-Augmented Generation
RAG en kennissystemen

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
Schermafbeelding van LanceDB
RAG en kennissystemen

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
Schermafbeelding van EvalScope
RAG en kennissystemen

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

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