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.

7/8/2025
38 nodes
Complex
manualcomplexlangchaincompressionsplitoutextractfromfileexecuteworkflowtriggersplitinbatchesfiltersticky notewaitadvancedapiintegrationfilesstoragelogicrouting
Categories:
Complex WorkflowManual TriggeredBusiness Process Automation
Integrations:
LangChainCompressionSplitOutExtractFromFileExecuteWorkflowTriggerSplitInBatchesFilterSticky NoteWait

Target Audience

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

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

Workflow Steps


1. Manual Trigger: The workflow starts when the user clicks ‘Test workflow’.
2. Download Tax Code PDF: A ZIP file containing tax codes is downloaded from the Texas statutes website.
3. Extract ZIP Files: The downloaded ZIP is extracted to retrieve individual PDF files.
4. Extract PDF Contents: Each PDF's content is extracted for further processing.
5. Partition into Sections: The extracted content is analyzed to identify chapters and sections, creating a structured representation of the tax code.
6. Chunk Content: The content is split into manageable chunks, each not exceeding 50,000 characters, to facilitate processing.
7. Store in Qdrant: The chunks are embedded using Mistral.ai and stored in a Qdrant Vectorstore, enabling efficient searching and retrieval.
8. AI Agent Integration: An AI agent is set up to answer user queries regarding tax codes, utilizing the stored data.
9. Search and Ask Tools: Users can ask specific questions or search for sections, with the AI agent retrieving relevant information from the Qdrant collection.

Customization Guide

Customization Guide


- Modifying Download URL: Users can change the URL in the Get Tax Code Zip File node to download different tax codes or legal documents.
- Adjusting Chunk Size: The Content Chunking node allows users to modify the character limit for each chunk, optimizing for their specific use case.
- AI Agent Configuration: Users can customize the AI agent's system message to better suit their interaction style or the specific domain of law they are addressing.
- Adding New Nodes: Additional nodes can be integrated into the workflow to enhance functionality, such as connecting to other data sources or APIs for broader legal research.