Unifying Indian Mobile & Internet Plans with AI and Graph Databases — (Production-ready, Gemini structured outputs)
Last Updated on October 6, 2025 by Editorial Team
Author(s): Krishna Kumar S
Originally published on Towards AI.
TL;DR
The LLM (Gemini) is used with structured output via ChatGoogleGenerativeAI.with_structured_output(...) to directly return validated Pydantic objects from text files containing plans data. The pipeline then writes the cleaned records into Neo4j.
This article discusses the importance of comparing telecom plans from major providers in India, emphasizing the need for a canonical representation of data to discern differences. It outlines the technological approach of employing an LLM for structured outputs, Pydantic for validation, and Neo4j for graph representation, creating a robust framework for managing and comparing these plans effectively across various platforms.
Read the full blog for free on Medium.
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