Adjust concurrency limits more LLM friendly settings for new comers

- Lowered max async LLM processes to 4
- Enabled LLM cache for entity extraction
- Reduced max parallel insert to 2

lightrag/api/README.md

@@ -224,7 +224,7 @@ LightRAG supports binding to various LLM/Embedding backends:
 Use environment variables  `LLM_BINDING` or CLI argument `--llm-binding` to select LLM backend type. Use environment variables  `EMBEDDING_BINDING` or CLI argument `--embedding-binding` to select LLM backend type.
 
 ### Entity Extraction Configuration
-* ENABLE_LLM_CACHE_FOR_EXTRACT: Enable LLM cache for entity extraction (default: false)
+* ENABLE_LLM_CACHE_FOR_EXTRACT: Enable LLM cache for entity extraction (default: true)
 
 It's very common to set `ENABLE_LLM_CACHE_FOR_EXTRACT` to true for test environment to reduce the cost of LLM calls.
 

lightrag/api/utils_api.py

@@ -364,7 +364,7 @@ def parse_args(is_uvicorn_mode: bool = False) -> argparse.Namespace:
 
     # Inject LLM cache configuration
     args.enable_llm_cache_for_extract = get_env_value(
-        "ENABLE_LLM_CACHE_FOR_EXTRACT", False, bool
+        "ENABLE_LLM_CACHE_FOR_EXTRACT", True, bool
     )
 
     # Select Document loading tool (DOCLING, DEFAULT)