Accounting & Finance
Tax Code Q&A Chatbot with Mistral AI
AI chatbot for Q&A on Texas tax codes. Downloads/processes PDFs, embeds via Mistral AI, stores in Qdrant. OpenAI agent queries vector store for chapter/section info.
Built · ~5.5 hours saved per week
Tax experts, lawyers, and business owners who need fast answers about Texas tax laws.
Downloads Texas tax code PDFs, extracts chapters and sections, stores them in a vector database with AI embeddings, and builds a chatbot to answer questions using AI tools for search and retrieval.
Add API keys for Mistral AI, Qdrant, and OpenAI in n8n credentials. Set up the webhook for chat input. Run the manual trigger once to ingest data.
n8n instance with LangChain nodes, access to Mistral AI, Qdrant vector DB, OpenAI API, and internet for PDF download.
Change chunk sizes for large docs, swap AI models, add more tools for other queries, or update PDF source for new laws.
Key Technologies: n8n Workflow Automation,Mistral AI Embeddings,Qdrant Vector Database,OpenAI Chat Model,LangChain Nodes
Automation Value: Speeds up legal research by instantly answering tax questions with sources. Reduces errors from manual PDF searches. Scales to handle updates in tax laws automatically. Provides traceable responses with chapter and section references.
Best Practices: Use metadata in vectors for hybrid search (semantic + keyword). Chunk large documents to fit model limits and improve relevance. Batch process data to handle rate limits and scale ingestion. Include source references in responses for trust and verification. Loop with delays to avoid API overload during setup. Separate ingestion from querying for efficient, on-demand use.
Tags: Chatbot, Web Scraping, Reports & Analytics, RAG, System (Parent/Child), Data Transformation
Integrations: HTTP, Vector Store, AI Agent, OpenAI