repo_description: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
repo_topics: agent agentic agentic-ai agentic-workflow ai context-engineering context-retrieval deep-research deepseek deepseek-r1 document-understanding graphrag harness llm mcp ollama openai openclaw rag retrieval-augmented-generation
code: #
  #  Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  #  See the License for the specific language governing permissions and
  #  limitations under the License.
  #
  import xxhash
  
  
  def string_to_bytes(string):
      return string if isinstance(
          string, bytes) else string.encode(encoding="utf-8")
  
  
  def bytes_to_string(byte):
      return byte.decode(encoding="utf-8")
  
  # 128 bit = 32 character
  def hash128(data: str) -> str:
      return xxhash.xxh128(data).hexdigest()
  