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Applied AI & Intelligent Document Processing

Natural Language Query Engine for World Bank Macroeconomic Data

AI-driven semantic interface translating conversational questions into precision World Bank API queries and structured data summaries.

Timeline: January 2024 – April 2024
Delivery: Production-Ready

The Business & Technical Challenge

Researchers and policy analysts spent hours navigating complex API endpoints and raw CSV dumps for country-level indicators.

The Engineered Architecture & Solution

Built an LLM agent with structured tool-calling capabilities that dynamically parses human queries, queries the World Bank API, and outputs verified datasets.

Measured Business Outcome & Impact

Enabled instant natural-language access to global economic datasets with zero SQL or API knowledge required.

Core Technology Stack

OpenAI APIPythonWorld Bank APITool CallingData Extraction

Facing a Similar Technical Challenge?

We can help you evaluate your architecture, optimize execution speed, or deploy production-ready AI pipelines.