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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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| .. | ||
| de.rs | ||
| document_changes.rs | ||
| document_deletion.rs | ||
| document_operation.rs | ||
| extract.rs | ||
| guess_primary_key.rs | ||
| mod.rs | ||
| partial_dump.rs | ||
| post_processing.rs | ||
| update_by_function.rs | ||
| write.rs | ||