Building a Resume Summarization App with Strapi CMS, Langchain.js, and OpenAI

[kirurisimon]

What is your article idea?

The idea is to write an article that will cover the process of building an efficient resume summarization application using Strapi as the Content Management System (CMS) for storing and managing documents, Langchain.js for the summarization logic, and OpenAI's language models for generating high-quality summaries. The UI will show the available resumes in Strapi, then the user can select a document or several documents and the app will generate a default summary of their contents. The user can also provide instructions on how the resume should be summarized or even ask a question about the resume's contents.

Here is the outline:
I. Introduction

• Brief introduction to the challenges of information overload and the need for efficient document summarization.
• Brief outline of the app's features, including integration with Strapi CMS.

II. Setting Up the Development Environment

1. Node.js and npm package manager.
2. Langchain.js library.
3. OpenAI and an OpenAI API key.
4. Strapi CMS and its configuration.

III. Building the App with Langchain.js and Strapi

1. Document Management with Strapi:
   • Setting up Strapi with a Content Type for documents.
   • Uploading and managing resumes in the Strapi admin panel.
2. Document Loading and Preprocessing:
   • Use Langchain.js document loaders to fetch resumes from Strapi.
   • Explanation of pre-processing steps like cleaning text and removing irrelevant content.
3. OpenAI Integration:
   • Choosing the appropriate OpenAI model for summarization.
4. Building the Summarization Chain:
   • Introduce the concept of Langchain.js chains.
   • Show how the chain interacts with the documents from Strapi, OpenAI model, and summary generation.
5. Creating User Interface:
   • Discuss creating a user interface (UI) for the app using React.
   • Integrating the UI with Strapi for resume management and displaying summaries.

IV. Running the App and Generating Summaries

• Explain how to upload resumes to Strapi and interact with the app's features.
• Showcase example summaries generated from resumes stored in Strapi.

V. Conclusion

What are the objectives of your article?

By the end of this article, readers will:

1. Understand the benefits of using Strapi CMS for document management.
2. Discover how to integrate Strapi with the application's frontend.
3. Learn how to integrate Langchain.js and OpenAI's language models for building a robust summarization pipeline.
4. Gain insights into optimizing the summarization process for improved performance and efficiency.
5. Have a practical understanding of building a user-friendly interface for resume summarization applications.

What is your expertise as a developer or writer?

Advance

What type of post is this?

Tutorial

Terms & Conditions

• I have read the Write for the Community program guidelines.

[kirurisimon]

Hello @Theodore-Kelechukwu-Onyejiaku ,

What are your thoughts about this article proposal?

[Theodore-Kelechukwu-Onyejiaku]

Hi @kirurisimon , thanks for your article proposal! This looks great 🙌. Could this be "Building a Resume Summarization App with Strapi CMS, LangChain.js, and OpenAI"?.

So instead of "Document", we use Resume or CV. What do you think?

[kirurisimon]

Thanks for the feedback @Theodore-Kelechukwu-Onyejiaku . I agree that's a better angle.

[Theodore-Kelechukwu-Onyejiaku]

Thank you @kirurisimon ,

Please go ahead! 🚀