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AskQB

Natural language query layer for Quickbase using RAG

Built bySpence
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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

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