ManualTrigger Automate
For ManualTrigger Automate, this workflow streamlines the extraction and organization of Texas tax code data from PDFs, enabling efficient querying through an AI-powered assistant. It automates the downloading, unzipping, and parsing of tax code documents, storing relevant sections in a Qdrant vector store for quick access. Users can ask specific questions and receive accurate responses, enhancing the accessibility of legal information while saving time and effort in research.
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Workflow Overview
For ManualTrigger Automate, this workflow streamlines the extraction and organization of Texas tax code data from PDFs, enabling efficient querying through an AI-powered assistant. It automates the downloading, unzipping, and parsing of tax code documents, storing relevant sections in a Qdrant vector store for quick access. Users can ask specific questions and receive accurate responses, enhancing the accessibility of legal information while saving time and effort in research.
Target Audience
- Legal Professionals: Attorneys and paralegals seeking quick access to tax code information.
- Tax Consultants: Advisors needing to reference specific tax legislation for clients.
- Researchers: Individuals conducting studies on tax laws and regulations.
- Developers: Those interested in integrating AI-driven solutions into legal tech applications.
Problem Solved
This workflow addresses the challenge of efficiently accessing and understanding complex tax code legislation. By automating the extraction of relevant sections from large PDF documents and storing them in a Qdrant Vectorstore, users can quickly retrieve specific information, reducing the time spent searching through extensive legal texts.
Workflow Steps
- Manual Trigger: The workflow starts when the user clicks ‘Test workflow’.
- Download Tax Code PDF: A ZIP file containing tax codes is downloaded from the Texas statutes website.
- Extract ZIP Files: The downloaded ZIP is extracted to retrieve individual PDF files.
- Extract PDF Contents: Each PDF's content is extracted for further processing.
- Partition into Sections: The extracted content is analyzed to identify chapters and sections, creating a structured representation of the tax code.
- Chunk Content: The content is split into manageable chunks, each not exceeding 50,000 characters, to facilitate processing.
- Store in Qdrant: The chunks are embedded using Mistral.ai and stored in a Qdrant Vectorstore, enabling efficient searching and retrieval.
- AI Agent Integration: An AI agent is set up to answer user queries regarding tax codes, utilizing the stored data.
- Search and Ask Tools: Users can ask specific questions or search for sections, with the AI agent retrieving relevant information from the Qdrant collection.