| node_lines: | |
| - node_line_name: retrieve_node_line | |
| nodes: | |
| - node_type: retrieval | |
| modules: | |
| - module_type: vectordb | |
| embedding_model: openai | |
| top_k: 3 | |
| strategy: | |
| metrics: | |
| - retrieval_f1 | |
| - retrieval_recall | |
| - retrieval_precision | |
| - node_line_name: post_retrieve_node_line | |
| nodes: | |
| - node_type: prompt_maker | |
| modules: | |
| - module_type: fstring | |
| prompt: "Read the passages and answer the given question. \n Question: {query} \n Passage: {retrieved_contents} \n Answer : " | |
| strategy: | |
| generator_modules: | |
| - batch: 2 | |
| llm: openai | |
| module_type: llama_index_llm | |
| metrics: | |
| - bleu | |
| - meteor | |
| - rouge | |
| - node_type: generator | |
| modules: | |
| - batch: 2 | |
| llm: openai | |
| model: gpt-3.5-turbo-16k | |
| module_type: llama_index_llm | |
| strategy: | |
| metrics: | |
| - metric_name: bleu | |
| - metric_name: meteor | |
| - embedding_model: openai | |
| metric_name: sem_score | |