A Retrieval-Augmented Generation (RAG) application that enables dynamic conversations with PDF documents, built using a modern no-code tech stack.

ChatWithPDF is an advanced document interaction platform I developed that allows users to have natural conversations with their PDF documents. Built using a sophisticated no-code tech stack, this application demonstrates how modern AI technologies can be leveraged to transform static documents into interactive knowledge bases.

Using Bubble.io a user-friendly user interface is created where users can simply upload their documents and start conversing with them immediately.

The backend architecture is built using Buildship, where documents are processed and chunked for optimal processing. These chunks are then vectorized, for generating the vector embeddings, OpenAI's text embedding model text-embedding-ada-002 is used.

The file and the chunks are then stored in two separate tables inside the Supabase database. The system uses a vector similarity search method to ensure highly relevant responses.

As a no-code developer with a strong coding background, I bring the best of both worlds to your project.

Whether you're interested in AI-powered applications, automated workflows, or custom business solutions, I can help bring your vision to life efficiently and cost-effectively.

Let's connect and discuss how we can transform your ideas into reality!

Let's chat: https://cal.com/shvshydv/no-code-development-intro-call