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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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| .. | ||
| benchmarks | ||
| build-info | ||
| dump | ||
| file-store | ||
| filter-parser | ||
| flatten-serde-json | ||
| fuzzers | ||
| index-scheduler | ||
| json-depth-checker | ||
| meili-snap | ||
| meilisearch | ||
| meilisearch-auth | ||
| meilisearch-types | ||
| meilitool | ||
| milli | ||
| permissive-json-pointer | ||
| tracing-trace | ||
| xtask | ||