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enricollen/rag-conversational-agent

A simple local Retrieval-Augmented Generation (RAG) chatbot that can answer to questions by acquiring information from personal PDF documents.

更新:2026/10/12 05:34:48首次收录:2026/10/12 05:34:48原始来源
language
Python
stars
49
forks
10
license
null
homepage
https://medium.com/@nello.enrico/how-to-build-a-python-flask-rag-chat-with-documents-cf5de7b05399
source_updated_at
2026-10-01T20:32:06Z

详细说明:

A simple local Retrieval-Augmented Generation (RAG) chatbot that can answer to questions by acquiring information from personal PDF documents.

描述来源标记:原始/编辑整理

如何使用:

在 GitHub 打开仓库 enricollen/rag-conversational-agent,按 README 安装与使用。Stars:49。

同类对比:

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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「enricollen/rag-conversational-agent」相关,可按场景对照选用

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