Development of an AI-Driven Career Advancement Planning Application Using Retrieval-Augmented Generation - 13/02/2024 05:26 EST

We are seeking an AI expert with extensive experience in designing and developing applications utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). The primary goal is to construct an innovative application that automatically generates a customized and structured career advancement plan for individuals, leveraging data stored in a vector database. This RAG-based application will focus on delivering personalized guidance for users planning their next career steps. **Key Requirements and Deliverables:** - **Architecture Design:** Develop a scalable and robust architecture that integrates LLMs, RAG technology, and vector database management to efficiently process and analyze user data. - **LLM Selection and RAG Integration:** Identify the most suitable LLMs for understanding and processing career-related information. Integrate these models with RAG technology to enrich the application's ability to generate precise and personalized career plans by augmenting the model's responses with information retrieved from the vector database. - **High-Level Logic Development:** Design the core logic and algorithms enabling the application to analyze user data, interact with the vector database through RAG, and produce tailored, time-bound career advancement plans. - **Prompt Engineering:** Craft engaging and effective prompts that will guide the interaction between the user and the AI, ensuring the output—career plans—are closely aligned with the user's aspirations and professional background. - **Code Verification and Testing:** Actual coding will be done by our team and not part of scope. Once the coding is done, perform comprehensive testing and verification processes to guarantee the application's reliability, effectiveness, and its capacity to generate personalized career guidance accurately. Perform fine tuning of Prompts based on the verification and testing. This project aims to harness the power of LLMs and Retrieval-Augmented Generation to offer a groundbreaking tool for professional growth. By automating the creation of detailed and personalized career development plans, this application will serve as a pivotal resource for individuals aiming to navigate their career paths with confidence and clarity.