Building an AI Resume Assistant App with Langflow, Astra DB, and OpenAI

The author has built a tool called ResumAI, which uses retrieval-augmented generation (RAG) and generative AI to alleviate the stress of the job hunt by automating the process of improving one's resume for a desired role. The tool utilizes DataStax Langflow, Astra DB, and OpenAI to parse resumes, compare them to existing job descriptions, and provide suggestions for improvement. To build ResumAI, users need to create a serverless vector database in Astra DB, set up an integration with OpenAI, and clone a GitHub repository containing the necessary code. The tool then uses Langflow's AI application builder to create a flow that ingests data from a dataset of LinkedIn job listings, vectorsize the content, and performs a vector similarity search against the uploaded resume. The results are then used to prompt an LLM (Large Language Model) to generate suggestions for improvement. The author has also created a Streamlit app that connects to this Langflow flow, allowing users to input their desired role and upload a resume PDF file to receive personalized feedback on how to improve it.

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