Try loading the embedding model explicitly

Author: abrookins

pyproject.toml

@@ -27,6 +27,7 @@ dependencies = [
     "numba>=0.60.0",
     "nanoid>=2.0.0",
     "mcp>=1.6.0",
+    "sentence-transformers>=2.5.0",
 ]
 
 [project.optional-dependencies]

redis_memory_server/extraction.py

@@ -28,7 +28,10 @@ def get_topic_model() -> BERTopic:
     """
     global _topic_model
     if _topic_model is None:
-        _topic_model = BERTopic.load(settings.topic_model)
+        # TODO: Expose this as a config option
+        _topic_model = BERTopic.load(
+            settings.topic_model, embedding_model="all-MiniLM-L6-v2"
+        )
     return _topic_model  # type: ignore