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Sleeping
| node_lines: | |
| - node_line_name: retrieve_node_line # Arbitrary node line name | |
| nodes: | |
| - node_type: retrieval | |
| strategy: | |
| metrics: [ retrieval_f1, retrieval_recall, retrieval_precision, | |
| retrieval_ndcg, retrieval_map, retrieval_mrr ] | |
| speed_threshold: 10 | |
| top_k: 10 | |
| modules: | |
| - module_type: bm25 | |
| bm25_tokenizer: [ porter_stemmer, space, gpt2 ] | |
| - module_type: vectordb | |
| embedding_model: openai | |
| embedding_batch: 256 | |
| - module_type: hybrid_rrf | |
| weight_range: (4,80) | |
| - module_type: hybrid_cc | |
| normalize_method: [ mm, tmm, z, dbsf ] | |
| weight_range: (0.0, 1.0) | |
| test_weight_size: 101 | |
| - node_type: passage_augmenter | |
| strategy: | |
| metrics: [ retrieval_f1, retrieval_recall, retrieval_precision ] | |
| speed_threshold: 5 | |
| top_k: 5 | |
| embedding_model: openai | |
| modules: | |
| - module_type: pass_passage_augmenter | |
| - module_type: prev_next_augmenter | |
| mode: next | |
| - node_type: passage_reranker | |
| strategy: | |
| metrics: [ retrieval_f1, retrieval_recall, retrieval_precision ] | |
| speed_threshold: 10 | |
| top_k: 5 | |
| modules: | |
| - module_type: pass_reranker | |
| - module_type: tart | |
| - module_type: monot5 | |
| - module_type: upr | |
| - module_type: rankgpt | |
| - module_type: colbert_reranker | |
| - module_type: sentence_transformer_reranker | |
| - module_type: flag_embedding_reranker | |
| - module_type: flag_embedding_llm_reranker | |
| - module_type: openvino_reranker | |
| - node_type: passage_filter | |
| strategy: | |
| metrics: [ retrieval_f1, retrieval_recall, retrieval_precision ] | |
| speed_threshold: 5 | |
| modules: | |
| - module_type: pass_passage_filter | |
| - module_type: similarity_threshold_cutoff | |
| threshold: 0.85 | |
| - module_type: similarity_percentile_cutoff | |
| percentile: 0.6 | |
| - module_type: threshold_cutoff | |
| threshold: 0.85 | |
| - module_type: percentile_cutoff | |
| percentile: 0.6 | |
| - node_line_name: post_retrieve_node_line # Arbitrary node line name | |
| nodes: | |
| - node_type: prompt_maker | |
| strategy: | |
| metrics: | |
| - metric_name: bleu | |
| - metric_name: meteor | |
| - metric_name: rouge | |
| - metric_name: sem_score | |
| embedding_model: openai | |
| speed_threshold: 10 | |
| generator_modules: | |
| - module_type: llama_index_llm | |
| llm: openai | |
| model: [gpt-4o-mini] | |
| modules: | |
| - module_type: fstring | |
| prompt: ["Tell me something about the question: {query} \n\n {retrieved_contents}", | |
| "Question: {query} \n Something to read: {retrieved_contents} \n What's your answer?"] | |
| - module_type: long_context_reorder | |
| prompt: [ "Tell me something about the question: {query} \n\n {retrieved_contents}", | |
| "Question: {query} \n Something to read: {retrieved_contents} \n What's your answer?" ] | |
| - node_type: generator | |
| strategy: | |
| metrics: | |
| - metric_name: bleu | |
| - metric_name: meteor | |
| - metric_name: rouge | |
| - metric_name: sem_score | |
| embedding_model: openai | |
| speed_threshold: 10 | |
| modules: | |
| - module_type: llama_index_llm | |
| llm: [openai] | |
| model: [gpt-4o-mini] | |
| temperature: [0.5, 1.0] | |