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romilandc/llama-index-RAG

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.

更新:2026/10/12 05:34:57首次收录:2026/10/12 05:34:57原始来源
language
Python
stars
16
forks
1
license
Apache-2.0
homepage
source_updated_at
2026-08-30T10:03:36Z

详细说明:

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.

描述来源标记:原始/编辑整理

如何使用:

在 GitHub 打开仓库 romilandc/llama-index-RAG,按 README 安装与使用。Stars:16。

同类对比:

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MCP 官方示例服务器集合相关Model Context Protocol 官方维护的参考 MCP Server 集合。与「romilandc/llama-index-RAG」相关,可按场景对照选用
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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「romilandc/llama-index-RAG」相关,可按场景对照选用

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