model name fix

requirements-dev.txt

@@ -30,4 +30,4 @@ tenacity
 #llama-index-embeddings-huggingface
 #transformers
 llama-index-embeddings-fastembed
-fastembed 
+fastembed

requirements-prod.txt

@@ -24,4 +24,4 @@ llama-index-tools-tavily-research
 qdrant-client
 tenacity
 llama-index-embeddings-fastembed
-fastembed 
+fastembed

src/clients/sparse_embedding_client.py

@@ -3,7 +3,7 @@ from typing import List, Tuple
 import logging
 
 class SparseEmbeddingClient:  
-    def __init__(self, model_name: str = "Qdrant/SPLADE_PP_en_v1"):
+    def __init__(self, model_name: str = "prithivida/Splade_PP_en_v1"):
         logging.info(f"Initializing SPLADE sparse embeddings ({model_name})...")
         self.model = SparseTextEmbedding(
             model_name=model_name,