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[![copier][copier-shield]][copier] \r\n\r\n## Usage\r\n\r\nThe llama-index-cmem package allows using [eccenca Corporate Memory](https://eccenca.com/products/enterprise-knowledge-graph-platform-corporate-memory) together with [LlamaIndex](https://docs.llamaindex.ai/en/stable/).\r\n\r\n### Components\r\n- SPARQLReader: Use to load documents from SPARQL query to use in ingestion pipeline.\r\n- SPARQLRetriever: Execute SPARQL query to retrieve context from SPARQL endpoint.\r\n- NLSPARQLRetriever: Text-to-SPARQL retriever to retrieve context from SPARQL endpoint using natural language.\r\n- CMEMQueryCatalogRetriever: Execute SPARQL query from CMEM query catalog to retrieve context from SPARQL endpoint.\r\n\r\nThere are several example notebooks available:\r\n- NLSPARQLRetriever and CMEMQueryCatalogRetriever.\r\n- ChatEngine: Chatting with an RDF knowledge graph data.\r\n- QueryEngine: Single Q\u0026A engine with RDF knowledge graph data.\r\n- PGVector: Generate embeddings from RDF knowledge graph and query with natural language (via vector similarity).\r\n\r\n\r\n[poetry-link]: https://python-poetry.org/\r\n[poetry-shield]: https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json\r\n[ruff-link]: https://docs.astral.sh/ruff/\r\n[ruff-shield]: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json\u0026label=Code%20Style\r\n[mypy-link]: https://mypy-lang.org/\r\n[mypy-shield]: https://www.mypy-lang.org/static/mypy_badge.svg\r\n[copier]: https://copier.readthedocs.io/\r\n[copier-shield]: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/copier-org/copier/master/img/badge/badge-grayscale-inverted-border-purple.json\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feccenca%2Fllama-index-cmem","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feccenca%2Fllama-index-cmem","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feccenca%2Fllama-index-cmem/lists"}