TR updates, second round

Author: lpozo

python-llamaindex/demo_ollama.py

@@ -5,7 +5,11 @@
 reader = SimpleDirectoryReader(input_files=["./data/pep8.rst"])
 documents = reader.load_data()
 
-embed_model = OllamaEmbedding(model_name="embeddinggemma")
+embed_model = OllamaEmbedding(
+    model_name="embeddinggemma",
+    request_timeout=60.0,  # For low-performance hardware
+    context_window=8000,  # For reducing memory usage
+)
 index = VectorStoreIndex.from_documents(documents, embed_model=embed_model)
 
 llm = Ollama(model="llama3.2")