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1. Introduction to Script Graph AI
2. Using AMA with Script Graph AI
3. New Features in Script Graph AI
4. Exploring the Smart Scraper Graph
5. Setting Up Your Environment
6. Creating a Python Environment
7. Pulling Models and Installing Requirements
8. Scraping Content from a URL
9. Extracting Links from a Web Page
10. Document Scraping Capabilities
11. Conclusion and Future Use Cases
12. FAQ

Introduction to Script Graph AI

Script Graph AI is a powerful Python library designed for web scripting, which integrates large language models (LLMs) with direct graph logic. This combination enables users to build efficient scripting pipelines for various formats, including websites and local documents such as XML, HTML, JSON, Markdown, and more. The library simplifies the extraction of information by allowing users to specify their requirements, while it manages the underlying processes.

Using AMA with Script Graph AI

AMA is an advanced AI tool that facilitates the execution of open-source large language models locally on your machine. This setup eliminates the need for cloud-based services, making it easier to run LLM workflows. By utilizing Script Graph AI alongside AMA, users can ensure that all operations are performed locally, enhancing privacy and control over data.

New Features in Script Graph AI

Recent updates to Script Graph AI have introduced new features, including the ability to scrape content from websites and extract all URL links. Additionally, the Document Scraper allows users to extract content from various document types. These enhancements make it easier to gather and manipulate data from multiple sources.

Exploring the Smart Scraper Graph

The Smart Scraper Graph is one of the most popular pre-built scraping pipelines within Script Graph AI. It allows users to extract information from a single web page using just a prompt and a source URL. Each node in the graph serves a specific function, starting with fetching content from the specified URL and processing it through the retriever-augment-generation (RAG) pipeline to generate structured answers.

Setting Up Your Environment

To effectively use Script Graph AI, users must first install AMA on their local systems. A minimum of 5 to 15 GB of RAM is recommended for optimal performance. Installation is straightforward, with options available for various operating systems, including Mac OS, Linux, and Windows. Once installed, users can begin utilizing the library in their coding environment.

Creating a Python Environment

Setting up a Python environment is essential for running Script Graph AI applications. Users can create a virtual environment using the command 'python -m venv env_name' and activate it. This ensures that all dependencies and libraries are managed effectively, allowing for a smoother development experience.

Pulling Models and Installing Requirements

After setting up the environment, users can pull the desired models from AMA and install necessary requirements. This includes installing libraries such as Playwright and Script Graph AI, which are crucial for executing scraping tasks. Running 'pip install -r requirements.txt' will install all required packages efficiently.

Scraping Content from a URL

To scrape content from a URL, users can utilize the Smart Scraper Graph by importing the necessary libraries and configuring the graph settings. By specifying the model, temperature, and output format, users can run the scraper to fetch and process data from the web page, resulting in structured JSON output.

Extracting Links from a Web Page

Script Graph AI also provides functionality to extract all links from a specified URL. By using the Search Link Graph, users can configure parameters to filter out unwanted links and specify the domains to include. This feature is particularly useful for gathering comprehensive link data from web pages.

Document Scraping Capabilities

The Document Scraper feature allows users to extract and summarize content from various document types, including PDFs. By providing a source link to the document and a prompt for summarization, users can quickly obtain key topics and insights from their documents, making it a valuable tool for data extraction and analysis.

Conclusion and Future Use Cases

Script Graph AI offers a versatile solution for web scraping and document processing, with numerous use cases across different domains. Users are encouraged to explore the library's capabilities and experiment with various configurations to maximize its potential. As the tool continues to evolve, more features and use cases will be introduced, enhancing its utility for developers and data analysts alike.

FAQ

Q: What is Script Graph AI?
A: Script Graph AI is a powerful Python library designed for web scripting, integrating large language models (LLMs) with direct graph logic to build efficient scripting pipelines for various formats.
Q: How does AMA work with Script Graph AI?
A: AMA is an advanced AI tool that allows the execution of open-source large language models locally, enhancing privacy and control over data when used alongside Script Graph AI.
Q: What new features have been introduced in Script Graph AI?
A: Recent updates include the ability to scrape content from websites, extract all URL links, and utilize the Document Scraper for various document types.
Q: What is the Smart Scraper Graph?
A: The Smart Scraper Graph is a pre-built scraping pipeline that enables users to extract information from a single web page using a prompt and a source URL.
Q: How do I set up my environment for Script Graph AI?
A: Users must install AMA on their local systems, with a recommended RAM of 5 to 15 GB, and follow straightforward installation options for various operating systems.
Q: How can I create a Python environment for Script Graph AI?
A: You can create a virtual environment using the command 'python -m venv env_name' and activate it to manage dependencies effectively.
Q: What steps are involved in pulling models and installing requirements?
A: After setting up the environment, users can pull models from AMA and install necessary libraries using 'pip install -r requirements.txt'.
Q: How do I scrape content from a URL using Script Graph AI?
A: Users can utilize the Smart Scraper Graph by importing libraries, configuring graph settings, and specifying parameters to fetch and process data from a web page.
Q: Can I extract links from a web page with Script Graph AI?
A: Yes, Script Graph AI provides functionality to extract all links from a specified URL using the Search Link Graph, allowing for filtering and domain specification.
Q: What are the document scraping capabilities of Script Graph AI?
A: The Document Scraper feature allows users to extract and summarize content from various document types, including PDFs, by providing a source link and a summarization prompt.
Q: What are the future use cases for Script Graph AI?
A: Script Graph AI offers versatile solutions for web scraping and document processing, with ongoing developments expected to introduce more features and use cases for developers and data analysts.