ManualTrigger Automate

This workflow is ideal for:

• Tax Professionals: Those who need to quickly access and reference tax codes.
• Legal Advisors: Individuals who require precise legal information related to tax legislation in Texas.
• Developers: Tech enthusiasts looking to integrate AI-driven solutions into their applications.
• Researchers: Academics or analysts studying tax legislation and its implications.
• Public Servants: Government employees seeking efficient methods to provide information to constituents.

This workflow addresses the challenge of accessing complex and extensive tax code documents efficiently. By automating the extraction and organization of tax code sections, it enables users to:

• Quickly retrieve relevant information without sifting through lengthy PDFs.
• Utilize AI for intelligent querying, providing accurate responses based on user questions about tax legislation.
• Store and manage tax codes in a structured format, making it easier to filter and search through the data.

1. Download Tax Code PDF: Initiate the process by downloading the zipped tax code documents from a government website.
2. Extract and Unzip Files: Use n8n's compression node to extract individual PDF files from the zip archive.
3. Extract PDF Contents: Process each PDF to extract text and relevant metadata, organizing it into chapters and sections for easier access.
4. Chunk Content: Break down lengthy content into manageable chunks to facilitate better processing and embedding.
5. Generate Embeddings: Utilize the Mistral Cloud API to create embeddings for the extracted content, which allows for semantic searching.
6. Store in Qdrant: Save the structured data into a Qdrant vector store, enabling efficient retrieval and filtering based on metadata.
7. AI Agent Setup: Implement an AI agent capable of answering user queries about tax codes, utilizing the stored data and embeddings for accurate responses.
8. Query Handling: Set up tools for users to ask questions or search for specific sections of the tax code, with responses generated based on the AI's understanding of the data.