vemonet/langchain-rdf

🦉 Utilities to improve LLMs capabilities when working with SPARQL endpoints and RDF knowledge graphs, compatible with LangChain

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Emerging

This project helps developers integrate knowledge graphs and ontologies into applications powered by large language models. It takes RDF data, OWL ontology classes, or SPARQL query examples and makes them accessible to LangChain for enhanced querying and understanding. Developers building intelligent systems that need to reason over structured data would use this.

No commits in the last 6 months.

Use this if you are a developer building an LLM application with LangChain and need to incorporate information from RDF knowledge graphs or OWL ontologies to improve the model's ability to answer complex, domain-specific questions.

Not ideal if you are not a developer or if your project does not involve LangChain or RDF/OWL data.

knowledge-graph-integration semantic-web llm-development data-interoperability ontology-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

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10

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 12, 2024

Commits (30d)

0

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