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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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5306: Fix internal error when passing `documentTemplateMaxBytes` to a source that doesn't support it r=ManyTheFish a=dureuill
# Pull Request
## Related issue
Fixes#5305
## What does this PR do?
- add `DOCUMENT_TEMPLATE_MAX_BYTES` to `allowed_sources_for_field` and `allowed_fields_for_source` to prevent a panic
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
