fix: pass task='retrieval.query' to SentenceTransformers encode when using Jina or fine-tuned embedding models to prevent Task missing error

webapp/tipitaka-api/app/services/rag_service.py

@@ -144,8 +144,12 @@ class RAGService:
                     from sentence_transformers import SentenceTransformer
                     self._st_model = SentenceTransformer(settings.ST_EMBED_MODEL, trust_remote_code=True)
 
+                encode_kwargs = {}
+                if "jina" in settings.ST_EMBED_MODEL.lower() or "finetune" in settings.ST_EMBED_MODEL.lower():
+                    encode_kwargs["task"] = "retrieval.query"
+
                 embeddings = self._st_model.encode(
-                    missing_texts, normalize_embeddings=True, show_progress_bar=False
+                    missing_texts, normalize_embeddings=True, show_progress_bar=False, **encode_kwargs
                 ).tolist()
                 for idx, emb in zip(missing_indices, embeddings):
                     self._store_cache(texts[idx], emb)