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1 parent fafce47 commit d8637daCopy full SHA for d8637da
docs/source/index.rst
@@ -78,6 +78,7 @@ Working with OntoAligner is straightforward:
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# Step 5: Initialize Generate predictions using RAG-based ontology matcher
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model = MistralLLMBERTRetrieverRAG(retriever_config=retriever_config, llm_config=llm_config)
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+ model.load(llm_path = "mistralai/Mistral-7B-v0.3", ir_path="all-MiniLM-L6-v2")
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predicts = model.generate(input_data=encoded_ontology)
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# Step 6: Apply hybrid postprocessing
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