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  1. README.md +2 -92
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  title: Llamaindex_RAG
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  emoji: 🦙
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  colorFrom: green
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- colorTo: green
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  sdk: streamlit
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- sdk_version: "1.2.3"
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  app_file: app.py
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  pinned: false
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  ---
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  # Llamaindex_RAG
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  Welcome to Llamaindex_RAG, a project that utilizes the power of llamas to index and retrieve information. Here's a brief overview of the project and its configuration.
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- ## Project Description
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- Llamaindex_RAG is a Python-based application that leverages the capabilities of the Hugging Face SDK to provide a robust and efficient information retrieval system. The application is designed to be user-friendly and highly customizable.
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-
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- ## Configuration
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-
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- - **Title**: Llamaindex_RAG
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- - **Emoji**: 🦙
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- - **Color Scheme**: The color scheme for this project starts from red (`#ff0000`) and transitions to blue (`#0000ff`).
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- - **SDK**: The project uses the Python SDK.
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- - **SDK Version**: The current version of the Python SDK being used is `1.2.3`.
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- - **Main Application File**: The main application file is `llama_app.py`.
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- - **Pinned**: This project is not pinned in the repository.
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-
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- ## Getting Started
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- To get started with Llamaindex_RAG, follow these steps:
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- 1. Clone the repository.
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- 2. Install the required dependencies using `pip install -r requirements.txt`.
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- 3. Run the application using `python llama_app.py`.
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- ## Documentation
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- For more detailed information on how to use Llamaindex_RAG, please refer to the [official documentation](https://huggingface.co/docs/hub/spaces-config-reference).
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- ## Contributing
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- We welcome contributions to Llamaindex_RAG. If you have any suggestions or bug reports, please open an issue or submit a pull request.
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- ## License
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- Llamaindex_RAG is released under the [MIT License](https://opensource.org/licenses/MIT).
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-
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- ---
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- For more information on configuring your project, check out the [configuration reference](https://huggingface.co/docs/hub/spaces-config-reference).
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- 这个README.md文件包含了所有必须的配置信息,并且提供了项目的简要描述、如何开始使用、文档链接---
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- title: Llamaindex_RAG
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- emoji: 🦙
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- colorFrom: #ff0000
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- colorTo: #0000ff
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- sdk: python
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- sdk_version: "1.2.3"
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- app_file: llama_app.py
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- pinned: false
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- ---
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-
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- # Llamaindex_RAG
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-
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- Welcome to Llamaindex_RAG, a project that utilizes the power of llamas to index and retrieve information. Here's a brief overview of the project and its configuration.
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-
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- ## Project Description
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- Llamaindex_RAG is a Python-based application that leverages the capabilities of the Hugging Face SDK to provide a robust and efficient information retrieval system. The application is designed to be user-friendly and highly customizable.
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-
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- ## Configuration
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- - **Title**: Llamaindex_RAG
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- - **Emoji**: 🦙
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- - **Color Scheme**: The color scheme for this project starts from red (`#ff0000`) and transitions to blue (`#0000ff`).
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- - **SDK**: The project uses the Python SDK.
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- - **SDK Version**: The current version of the Python SDK being used is `1.2.3`.
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- - **Main Application File**: The main application file is `llama_app.py`.
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- - **Pinned**: This project is not pinned in the repository.
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-
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- ## Getting Started
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-
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- To get started with Llamaindex_RAG, follow these steps:
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- 1. Clone the repository.
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- 2. Install the required dependencies using `pip install -r requirements.txt`.
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- 3. Run the application using `python llama_app.py`.
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- ## Documentation
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- For more detailed information on how to use Llamaindex_RAG, please refer to the [official documentation](https://huggingface.co/docs/hub/spaces-config-reference).
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- ## Contributing
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- We welcome contributions to Llamaindex_RAG. If you have any suggestions or bug reports, please open an issue or submit a pull request.
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- ## License
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- Llamaindex_RAG is released under the [MIT License](https://opensource.org/licenses/MIT).
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- ---
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- For more information on configuring your project, check out the [configuration reference](https://huggingface.co/docs/hub/spaces-config-reference).
 
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  title: Llamaindex_RAG
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  emoji: 🦙
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  colorFrom: green
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+ colorTo: blue
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  sdk: streamlit
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+ sdk_version: "0.0.1"
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  app_file: app.py
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  pinned: false
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  ---
 
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  # Llamaindex_RAG
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  Welcome to Llamaindex_RAG, a project that utilizes the power of llamas to index and retrieve information. Here's a brief overview of the project and its configuration.