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Diluksha-Upeka/Neurospace

A Multi-Modal RAG Knowledge Engine An intelligent knowledge graph system that ingests video, audio, and PDF documents to create a connected semantic web. Features a graph-based retrieval engine (GraphRAG), multi-modal search, and an interactive React Flow visualization dashboard. Built with FastAPI, Next.js, Neo4j, and LlamaIndex.

更新:2026/10/12 05:35:13首次收录:2026/10/12 05:35:13原始来源
language
Python
stars
1
forks
0
license
MIT
homepage
source_updated_at
2026-07-23T16:11:18Z

详细说明:

A Multi-Modal RAG Knowledge Engine An intelligent knowledge graph system that ingests video, audio, and PDF documents to create a connected semantic web. Features a graph-based retrieval engine (GraphRAG), multi-modal search, and an interactive React Flow visualization dashboard. Built with FastAPI, Next.js, Neo4j, and LlamaIndex.

描述来源标记:原始/编辑整理

如何使用:

在 GitHub 打开仓库 Diluksha-Upeka/Neurospace,按 README 安装与使用。Stars:1。

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huggingface/transformers相关🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 与「Diluksha-Upeka/Neurospace」相关,可按场景对照选用

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