# Core Concepts Creating a Generative AI-LLM application pipeline can seem daunting without prior familiarity with Langchain and RAG. However, our quickstart guide is designed to make the process remarkably straightforward. In this tutorial, we'll walk you through the steps of building a pipeline flow in a simplified manner, ensuring that even those without prior knowledge of Langchain and RAG. Note: * Each component features input and output connectors represented by circular icons. Hovering over these icons reveals compatible components, simplifying the process of constructing a seamless flow within the system. * Moreover, each component encompasses a range of parameters that must be provided by the user, including API keys, input file/URL, and more. These values can be modified by clicking on the edit icon (⋯). Users have the flexibility to enable or disable parameters based on specific requirements. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aiplanet.com/genai-stack-1/quickstart/core-concepts.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.