Fix INIT_YAML embeddings default settings (#1039)

Co-authored-by: Thanh Long Phan <long.phan@dida.do>
Co-authored-by: Alonso Guevara <alonsog@microsoft.com>

.semversioner/next-release/patch-20240827203354884800.json

@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Fix default settings for embedding"
+}

graphrag/index/init_content.py

@@ -38,6 +38,8 @@
   ## parallelization: override the global parallelization settings for embeddings
   async_mode: {defs.ASYNC_MODE.value} # or asyncio
   # target: {defs.EMBEDDING_TARGET.value} # or all
+  # batch_size: {defs.EMBEDDING_BATCH_SIZE} # the number of documents to send in a single request
+  # batch_max_tokens: {defs.EMBEDDING_BATCH_MAX_TOKENS} # the maximum number of tokens to send in a single request
   llm:
     api_key: ${{GRAPHRAG_API_KEY}}
     type: {defs.EMBEDDING_TYPE.value} # or azure_openai_embedding
@@ -52,8 +54,6 @@
     # max_retry_wait: {defs.LLM_MAX_RETRY_WAIT}
     # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
     # concurrent_requests: {defs.LLM_CONCURRENT_REQUESTS} # the number of parallel inflight requests that may be made
-    # batch_size: {defs.EMBEDDING_BATCH_SIZE} # the number of documents to send in a single request
-    # batch_max_tokens: {defs.EMBEDDING_BATCH_MAX_TOKENS} # the maximum number of tokens to send in a single request