DataArcTech/ToG

This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@idea.edu.cn)

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Emerging

This project helps researchers and developers integrate large language models (LLMs) with knowledge graphs like Freebase or Wikidata to improve reasoning capabilities. It takes natural language queries and a knowledge graph, and outputs more accurate and responsible answers by leveraging structured knowledge. This is for anyone building advanced AI systems that require nuanced understanding and factual grounding beyond what LLMs alone can provide.

631 stars. No commits in the last 6 months.

Use this if you need to build AI systems that answer complex questions by combining the natural language understanding of large language models with the structured, factual knowledge from a knowledge graph.

Not ideal if your application doesn't involve knowledge graphs or if you only need basic question-answering without a focus on responsible, fact-checked reasoning.

knowledge-graph large-language-models semantic-reasoning AI-development question-answering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 19 / 25

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Stars

631

Forks

70

Language

Python

License

Last pushed

Mar 24, 2024

Commits (30d)

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