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About
Ask questions about your Quickbase data in plain English. A RAG pipeline syncs your Quickbase schema and records, builds embeddings, then translates natural language queries into structured Quickbase API calls. Tested against 3 real Quickbase apps (CRM with 37 tables, tracking app, and a 51K-record production database). Handles multi-table joins, implicit filters, and ambiguous table references. Built because Quickbase's native reporting is powerful but requires knowing the schema — this lets anyone query without training.
💻 Tech Stack
Core languages and frameworks
PythonTypeScriptReactNext.jsFastAPILangChain
🤖 AI Tools Used
AI assistants and tools that helped build this project
OpenAI API
☁️ Infrastructure
Hosting, databases, and deployment tools
No infrastructure listed
Tags
ragquickbasenatural-language-queryembeddingsenterprise
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Project Details
Categorytool
CreatedFebruary 11, 2026