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ChatGPT: Chicago City RAG
This talk demonstrates a retrieval-augmented generation pipeline using vector search and prompt engineering to answer Chicago residents' questions about city services from official documents.
Building a conversational AI that answers Chicago residents’ questions about city services - inspired by Landon’s newsletter idea.
Live demo: Ask “How do I report a pothole?” or “What are parking rules on Michigan Ave?” and watch it pull answers from city documents and data.
Technical walkthrough:
- RAG pipeline: PDFs → chunks → vector embeddings → retrieval
- Pinecone for vector storage of city procedures/FAQs
- Tool calling to external APIs (future: Chicago Open Data Portal)
- Prompt engineering for helpful government tone
It will be live by demo day and in early beta!!