Converting Unstructured data into Neo4j Graphs for GraphRAG
Last Updated on October 7, 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 process of transforming unstructured telecom plans into structured data using LLM and Neo4j, highlighting the importance of defining a standard schema to ensure consistency and comparability across different telecom providers. It outlines the methodology, from using Gemini for extracting structured data to the validation and storage of this data in Neo4j, ultimately demonstrating how this system can enhance decision-making and provide clearer insights for users comparing telecom options.
Read the full blog for free on Medium.
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