instruction: Create a Dockerfile for orchestration
output: ```dockerfile
  from Neo4j to Excel using APOC Extended procedures, you can use apoc.export.xls.query which takes a Cypher query and exports the results to an Excel file.
  
  References:
  How to connect and query Neo4j Database on Apache Drill?
  Is a Neo4j UDF compatible with Apache POI?Keep in mind that new questions will be added to Stack Overflow, and due to the inherent randomness in most AI models, the answers may vary and won't be identical to those in this example.Feel free to start over with another Stack Overflow tag. To drop all data in Neo4j, you can use the following command in the Neo4j Web UI:
  
  MATCH (n)
  DETACH DELETE n;For optimal results, choose a tag that the LLM is not familiar with.When to leverage RAG for optimal resultsRetrieval-Augmented Generation (RAG) is particularly effective in scenarios where standard Large Language Models (LLMs) fall short. The three key areas where RAG excels are knowledge limitations, business requirements, and cost efficiency. Below, we explore these aspects in more detail.Overcoming knowledge limitationsLLMs are trained on a fixed dataset up until a certain point in time. This means they lack access to:Real-time information: LLMs do not continuously update their knowledge, so they may not be aware of recent events, newly released research, or emerging technologies.Specialized knowledge: Many niche subjects, proprietary frameworks, or industry-specific best practices may not be well-documented in the modelâs training corpus.Accurate contextual understanding: LLMs can struggle with nuances or evolving terminologies that frequently change within dynamic fields like finance, cybersecurity, or medical research.By incorporating RAG with a graph database such as Neo4j, AI models can access and retrieve the latest, relevant, and highly connected data before generating a response. This ensures that answers are up-to-date and grounded in factual information rather than inferred approximations.Addressing business and compliance needsOrganizations in industries like healthcare, legal services, and financial analysis require their AI-driven solutions to be:Accurate: Businesses need AI-generated content that is factual and relevant to their specific domain.Compliant: Many industries must adhere to strict regulations regarding data usage and security.Traceable: Enterprises often require AI responses to be auditable, meaning they need to reference source material.By using RAG, AI-generated answers can be sourced
  ```