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# [SPARQL](https://www.w3.org/TR/rdf-sparql-query/) for [LangChain](https://github.com/hwchase17/langchain) ## Description LangChain support for knowledge graphs relying on W3C standards using RDFlib: SPARQL/ RDF(S)/ OWL with special focus on RDF \ * Works with local files, files from the web, and SPARQL endpoints * Supports both SELECT and UPDATE queries * Includes both a Jupyter notebook with an example and integration tests ## Contribution compared to related PRs and discussions * [Wikibase agent](https://github.com/hwchase17/langchain/pull/2690) - uses SPARQL, but specifically for wikibase querying * [Cypher qa](https://github.com/hwchase17/langchain/pull/5078) - graph DB question answering for Neo4J via Cypher * [PR 6050](https://github.com/hwchase17/langchain/pull/6050) - tries something similar, but does not cover UPDATE queries and supports only RDF * Discussions on [w3c mailing list](mailto:semantic-web@w3.org) related to the combination of LLMs (specifically ChatGPT) and knowledge graphs ## Dependencies * [RDFlib](https://github.com/RDFLib/rdflib) ## Tag maintainer Graph database related to memory -> @hwchase17 |
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|---|---|---|
| .. | ||
| agent | ||
| cache | ||
| callbacks | ||
| chains | ||
| chat_models | ||
| document_loaders | ||
| embeddings | ||
| examples | ||
| graphs | ||
| llms | ||
| memory | ||
| prompts | ||
| retrievers | ||
| utilities | ||
| vectorstores | ||
| __init__.py | ||
| .env.example | ||
| conftest.py | ||
| test_document_transformers.py | ||
| test_kuzu.py | ||
| test_nebulagraph.py | ||
| test_nlp_text_splitters.py | ||
| test_pdf_pagesplitter.py | ||
| test_schema.py | ||
| test_text_splitter.py | ||