This n8n workflow is designed to automate the creation of an AI-powered legal assistant for Texas tax codes. It seamlessly downloads, extracts, and processes PDF documents containing tax laws, splits the content into manageable sections, and stores these in a Qdrant vector database with embedded vectors generated via Mistral.ai. The workflow then builds an interactive chatbot that can answer user queries related to Texas tax legislation, providing relevant content and section references. Practical use cases include legal research, tax law education, and automated compliance support for tax professionals or legal teams.
AI Tax Code Legal Assistant Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsMistralCloud, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.vectorStoreQdrant, compression, executeWorkflowTrigger, extractFromFile, filter, httpRequest, manualTrigger, set, splitInBatches, splitOut, stickyNote, switch, wait |
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