https://github.com/tuanpnc/promptweaver-rag-edition
Enhance RAG systems with PromptWeaver-RAG Edition. Access templates and best practices for effective prompt design, boosting accuracy and relevance. 🚀🛠️
https://github.com/tuanpnc/promptweaver-rag-edition
agentic-rag ai-agents ai-architecture cost-analysis ethical-ai hybrid-rag knowledge-retrieval langchain llamaindex llm llm-evaluation openai project-management prompt-design prompt-engineering rag retrieval-augmented-generation vector-search
Last synced: 3 months ago
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Enhance RAG systems with PromptWeaver-RAG Edition. Access templates and best practices for effective prompt design, boosting accuracy and relevance. 🚀🛠️
- Host: GitHub
- URL: https://github.com/tuanpnc/promptweaver-rag-edition
- Owner: tuanpnc
- Created: 2025-07-02T06:12:15.000Z (3 months ago)
- Default Branch: VinodBalakrishnan
- Last Pushed: 2025-07-02T08:16:41.000Z (3 months ago)
- Last Synced: 2025-07-02T09:29:24.422Z (3 months ago)
- Topics: agentic-rag, ai-agents, ai-architecture, cost-analysis, ethical-ai, hybrid-rag, knowledge-retrieval, langchain, llamaindex, llm, llm-evaluation, openai, project-management, prompt-design, prompt-engineering, rag, retrieval-augmented-generation, vector-search
- Size: 7.81 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# PromptWeaver: RAG Edition - Design Effective Prompts for AI Systems
## Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Getting Started](#getting-started)
- [Usage](#usage)
- [Templates](#templates)
- [Best Practices](#best-practices)
- [Topics](#topics)
- [Contributing](#contributing)
- [License](#license)
- [Releases](#releases)
## Overview
PromptWeaver: RAG Edition helps design effective prompts for Traditional, Hybrid, and Agentic RAG systems. This repository provides templates, system prompts, and best practices to improve accuracy, context use, and LLM reasoning. Whether you are a developer, researcher, or project manager, this tool aims to enhance your prompt design process.
## Features
- **Templates**: Ready-to-use templates for various RAG systems.
- **System Prompts**: Guidelines for creating effective prompts.
- **Best Practices**: Proven strategies to improve prompt effectiveness.
- **Contextual Usage**: Techniques for leveraging context in prompts.
- **Evaluation Tools**: Tools for assessing LLM performance.
## Getting Started
To get started with PromptWeaver: RAG Edition, clone the repository and install the necessary dependencies.
```bash
git clone https://github.com/tuanpnc/PromptWeaver-RAG-Edition.git
cd PromptWeaver-RAG-Edition
```
### Prerequisites
Ensure you have the following installed:
- Python 3.x
- pip
- Required libraries (listed in requirements.txt)
Install the required libraries using:
```bash
pip install -r requirements.txt
```
## Usage
Once you have the repository set up, you can start using the templates and guidelines provided. Each template is designed to help you create prompts tailored to specific needs.
### Example
Here’s a simple example of how to use a template:
1. Choose a template from the `templates` directory.
2. Modify it according to your needs.
3. Test it with your LLM.
## Templates
The repository includes various templates categorized by RAG type. Here are some examples:
### Traditional RAG Template
```markdown
### Task
Describe the task in detail.
### Input
Provide the necessary input.
### Output
Specify the expected output.
```
### Hybrid RAG Template
```markdown
### Task
Explain the hybrid approach.
### Input
Detail the context and inputs.
### Output
Outline the expected results.
```
### Agentic RAG Template
```markdown
### Task
Define the agentic role.
### Input
List the inputs required.
### Output
Describe the expected outcomes.
```
## Best Practices
To maximize the effectiveness of your prompts, consider the following best practices:
1. **Be Clear**: Use straightforward language.
2. **Be Specific**: Define the task and inputs clearly.
3. **Test Iteratively**: Refine your prompts based on feedback.
4. **Utilize Context**: Make sure to provide relevant context for better results.
## Topics
This repository covers a wide range of topics related to RAG systems:
- **agentic-rag**
- **ai-agents**
- **ai-architecture**
- **context-aware**
- **cost-analysis**
- **ethical-ai**
- **hybrid-rag**
- **knowledge-retrieval**
- **langchain**
- **llamaindex**
- **llm**
- **llm-evaluation**
- **openai**
- **project-management**
- **prompt-design**
- **prompt-engineering**
- **rag**
- **retrieval-augmented-generation**
- **semantic-search**
- **vector-search**
## Contributing
We welcome contributions to improve PromptWeaver: RAG Edition. If you have ideas or suggestions, please follow these steps:
1. Fork the repository.
2. Create a new branch.
3. Make your changes.
4. Submit a pull request.
Please ensure your code adheres to our coding standards and includes appropriate tests.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Releases
To download the latest release, visit the [Releases section](https://github.com/tuanpnc/PromptWeaver-RAG-Edition/releases). You can find the latest features and improvements there. Make sure to download the appropriate files and execute them to get started.
For any updates or new features, check back regularly in the [Releases section](https://github.com/tuanpnc/PromptWeaver-RAG-Edition/releases).
## Contact
For inquiries or support, please reach out via the issues section of this repository. We appreciate your feedback and suggestions.
Feel free to explore the templates, follow the best practices, and enhance your prompt design skills with PromptWeaver: RAG Edition.