Reasoning models (gemma-4, qwen3-thinking) burn the entire max_tokens
budget on <thinking> output and return empty visible content, so the
captioner produced zero captions for every image. Pass
chat_template_kwargs={enable_thinking: false} per-request to skip the
reasoning phase, and bump max_tokens 120 -> 200 as headroom.
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||
|---|---|---|
| .. | ||
| parsers | ||
| __init__.py | ||
| bm25.py | ||
| captioner.py | ||
| chunking.py | ||
| db.py | ||
| embeddings.py | ||
| ingestion.py | ||
| reranker.py | ||
| retrieval.py | ||
| scope.py | ||
| tool.py | ||
| vector_store.py | ||