llama-index tools eccenca Corporate Memory Integration
Project description
llama-index-cmem
llama-index tools eccenca Corporate Memory Integration
Usage
The llama-index-cmem package allows using eccenca Corporate Memory together with LlamaIndex.
Components
- SPARQLReader: Use to load documents from SPARQL query to use in ingestion pipeline.
- SPARQLRetriever: Execute SPARQL query to retrieve context from SPARQL endpoint.
- NLSPARQLRetriever: Text-to-SPARQL retriever to retrieve context from SPARQL endpoint using natural language.
- CMEMQueryCatalogRetriever: Execute SPARQL query from CMEM query catalog to retrieve context from SPARQL endpoint.
There are several example notebooks available:
- NLSPARQLRetriever and CMEMQueryCatalogRetriever.
- ChatEngine: Chatting with an RDF knowledge graph data.
- QueryEngine: Single Q&A engine with RDF knowledge graph data.
- PGVector: Generate embeddings from RDF knowledge graph and query with natural language (via vector similarity).
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