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796acd1aee
5288: Improve AI logging r=dureuill a=Kerollmops This PR fixes #5285 and brings the changes from #5233 to simplify debugging indexation and search performance issues related to AI. The following texts can be found in the logs to debug and understand performance issues: - `embed_one: search` represents the time we spent waiting for the embedding generation, i.e., OpenAI, local HuggingFace, Ollama. - `filtered_universe: search::universe` the time spent filtering the documents. - ~`next_bucket: search::vector_sort` is the time spent finding the nearest neighbors (ANNs) in the vector store (arroy), locally~ was being triggered too many times. - `indexing::vectors` is the time arroy spends indexing the new vectors for a batch. - `documents::extract vectors` and `documents::merge vectors` to see the time spent generating and writing the embeddings. Co-authored-by: Kerollmops <clement@meilisearch.com> |
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| .. | ||
| facet | ||
| index_documents | ||
| new | ||
| upgrade | ||
| available_documents_ids.rs | ||
| available_ids.rs | ||
| clear_documents.rs | ||
| concurrent_available_ids.rs | ||
| del_add.rs | ||
| indexer_config.rs | ||
| mod.rs | ||
| settings.rs | ||
| update_step.rs | ||
| word_prefix_docids.rs | ||
| words_prefix_integer_docids.rs | ||
| words_prefixes_fst.rs | ||