commit
3d93df4049
2 changed files with 3 additions and 6 deletions
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@ -469,9 +469,8 @@ class LightRAG:
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error_msg = f"Failed to process document {doc_id}: {str(e)}\n{traceback.format_exc()}"
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logger.error(error_msg)
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continue
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finally:
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# Ensure all indexes are updated after each document
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else:
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# Only update index when processing succeeds
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await self._insert_done()
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def insert_custom_chunks(self, full_text: str, text_chunks: list[str]):
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@ -479,9 +479,7 @@ async def handle_cache(hashing_kv, args_hash, prompt, mode="default"):
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quantized = min_val = max_val = None
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if is_embedding_cache_enabled:
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# Use embedding cache
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embedding_model_func = hashing_kv.global_config[
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"embedding_func"
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].func # ["func"]
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embedding_model_func = hashing_kv.global_config["embedding_func"]["func"]
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llm_model_func = hashing_kv.global_config.get("llm_model_func")
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current_embedding = await embedding_model_func([prompt])
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