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Resume Analysis Chatbot using LangChain, OpenAI and Vector Database
In this article, we will leverage the power of Langchain and OpenAI to automate the process of resume analysis. This tool enables recruiters to efficiently process large volumes of resumes, automatically extract important features, and generate a matching based on a predefined job description.
How Does It Work?
At a basic level, how does a document chatbot work? At its core, it’s just the same as ChatGPT. On ChatGPT, you can copy a bunch of text into the prompt, and then ask ChatGPT to summarise the text for you or generate some answers based on the text.
Interacting with a single document, such as a PDF, Microsoft Word, or text file, works similarly. We extract all of the text from the resumes, pass it into an LLM prompt, such as ChatGPT, and then ask questions about the text (best skills of the candidate, if there is a match given a job description..). This is the same way the ChatGPT example above works (or not working well because of lack of context) :
