Add jina, mxbai and sentence-transformers to download-models when used

CHANGELOG.md

@@ -1,6 +1,8 @@
 # Changelog
 ## [Unreleased]
 
+- **Jina Reranker v3**: Added support for Jina reranking with API mode (`provider: jina`) and local inference (`provider: jina-local`, requires `[jina]` extra)
+- **Model Downloads**: `download-models` now pre-downloads HuggingFace models for `sentence-transformers`, `mxbai`, and `jina-local`
 - **Reranker Factory**: Removed unreliable `id(config)`-based caching from `get_reranker()`; factory now always instantiates fresh
 
 ## [0.26.7] - 2026-01-20

haiku_rag_slim/haiku/rag/client.py

@@ -1656,9 +1656,11 @@ class HaikuRAG:
         """Download required models, yielding progress events.
 
         Yields DownloadProgress events for:
-        - Docling models (status="docling_start", "docling_done")
+        - Docling models
-        - HuggingFace tokenizer (status="tokenizer_start", "tokenizer_done")
+        - HuggingFace tokenizer
-        - Ollama models (status="pulling", "downloading", "done", or other Ollama statuses)
+        - Sentence-transformers embedder (if configured)
+        - HuggingFace reranker models (mxbai, jina-local)
+        - Ollama models
         """
         # Docling models
         try:
@@ -1678,6 +1680,51 @@ class HaikuRAG:
         await asyncio.to_thread(AutoTokenizer.from_pretrained, tokenizer_name)
         yield DownloadProgress(model=tokenizer_name, status="done")
 
+        # Sentence-transformers embedder
+        if self._config.embeddings.model.provider == "sentence-transformers":
+            try:
+                from sentence_transformers import (  # type: ignore[import-not-found]
+                    SentenceTransformer,
+                )
+
+                model_name = self._config.embeddings.model.name
+                yield DownloadProgress(model=model_name, status="start")
+                await asyncio.to_thread(SentenceTransformer, model_name)
+                yield DownloadProgress(model=model_name, status="done")
+            except ImportError:
+                pass
+
+        # HuggingFace reranker models
+        if self._config.reranking.model:
+            provider = self._config.reranking.model.provider
+            model_name = self._config.reranking.model.name
+
+            if provider == "mxbai":
+                try:
+                    from mxbai_rerank import MxbaiRerankV2
+
+                    yield DownloadProgress(model=model_name, status="start")
+                    await asyncio.to_thread(
+                        MxbaiRerankV2, model_name, disable_transformers_warnings=True
+                    )
+                    yield DownloadProgress(model=model_name, status="done")
+                except ImportError:
+                    pass
+
+            elif provider == "jina-local":
+                try:
+                    from transformers import AutoModelForSequenceClassification
+
+                    yield DownloadProgress(model=model_name, status="start")
+                    await asyncio.to_thread(
+                        AutoModelForSequenceClassification.from_pretrained,
+                        model_name,
+                        trust_remote_code=True,
+                    )
+                    yield DownloadProgress(model=model_name, status="done")
+                except ImportError:
+                    pass
+
         # Collect Ollama models from config
         required_models: set[str] = set()
         if self._config.embeddings.model.provider == "ollama":

tests/test_reranker.py

@@ -259,6 +259,7 @@ async def test_jina_reranker(monkeypatch):
 
 
 @pytest.mark.asyncio
+@pytest.mark.integration
 async def test_jina_local_reranker():
     try:
         from haiku.rag.reranking.jina_local import JinaLocalReranker