Examples for RAG Benchmarking - LLM as a judge #96
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SeriousSem
approved these changes
Oct 2, 2024
romaniam
reviewed
Oct 2, 2024
| from rag_benchmark_utils.common_utils import create_retriever, validate_response, print_results | ||
| from helpers.config import TERRAFORM_DOCS_TABLE_NAME | ||
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| RELATIVE_FILE_PATH = Path("data/golden_test_set.csv") |
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Not a must but might be easier to configure if moved to the config file
romaniam
reviewed
Oct 2, 2024
| try: | ||
| log.info(f"Asking question: {query}") | ||
| result = qa_chain.invoke({"query": query}) | ||
| actual_answer = result.get("result", "N/A") |
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Again not a must but constants for N/A and Failed would be better in this scenario
romaniam
reviewed
Oct 2, 2024
| multi_context: 0.4, | ||
| reasoning: 0.1 | ||
| } | ||
| OUTPUT_PATH = Path('data/golden_test_set.csv') |
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Not a must but might be easier to configure if moved to the config file
romaniam
approved these changes
Oct 2, 2024
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This PR adds examples for 'RAG Benchmarking - LLM as a judge', as a new section.