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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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| .. | ||
| extraction.ipynb | ||
| flare.ipynb | ||
| graph_cypher_qa.ipynb | ||
| graph_hugegraph_qa.ipynb | ||
| graph_kuzu_qa.ipynb | ||
| graph_nebula_qa.ipynb | ||
| graph_qa.ipynb | ||
| graph_sparql_qa.ipynb | ||
| hyde.ipynb | ||
| llm_bash.ipynb | ||
| llm_checker.ipynb | ||
| llm_math.ipynb | ||
| llm_requests.ipynb | ||
| llm_summarization_checker.ipynb | ||
| openai_functions_retrieval_qa.ipynb | ||
| openai_openapi.yaml | ||
| openapi_openai.ipynb | ||
| openapi.ipynb | ||
| pal.ipynb | ||
| qa_citations.ipynb | ||
| tagging.ipynb | ||
| vector_db_text_generation.ipynb | ||