Utshav-paudel/Text2Knowledgegraph_funnel

Converting unstructured text to knowledge graph using spacy LLM and ne04j.

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Experimental

This helps data engineers, researchers, or anyone working with large volumes of text turn unstructured documents into a structured knowledge graph. You provide raw text data, and it guides you through extracting key entities and their relationships. The output is a Neo4j Cypher query, which you can use to build a graph database for applications like enhanced search systems or powerful RAG (Retrieval Augmented Generation) retrievers.

No commits in the last 6 months.

Use this if you need a systematic way to convert free-form text into a structured, interconnected graph format to improve data retrieval and understanding.

Not ideal if you're looking for a fully automated, one-click solution without any manual steps or if you don't plan to use a graph database like Neo4j.

data-structuring information-extraction knowledge-representation search-optimization text-analytics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 9 / 25

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Jupyter Notebook

License

Last pushed

Feb 01, 2024

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/Utshav-paudel/Text2Knowledgegraph_funnel"

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