vtmike2015/Graph-Based-Literature-Review-Tool
This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.
Enables semantic literature search through OpenAI vector embeddings indexed in Neo4j, with a standardized data model for normalizing and aggregating metadata across multiple academic sources. Jupyter notebooks leverage Cypher queries and Neo4j's APOC library to construct citation networks and traverse multi-hop relationships—such as author co-authorship paths and nested reference chains—that would be inefficient in relational databases. Targets researchers and literature review workflows requiring relationship-driven discovery rather than simple document retrieval.
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Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Oct 30, 2023
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