
Have a look into snapshot of the demo Chat PDF app , that will be built during this course .
No Code Tools Used - Flowise and Bubble
No Code Tools used while creating Backend and Frontend of Chat PDF App
Learning basics of how PDF is stored as Embeddings in Vector Database , and how questions to PDF are answered by Large Language Models (LLM) like Open AI . This process is call Retrieval Augmented Generation (RAG).
Steps to create Open AI API Key and Pinecone vector database secret key
Steps to create Flowise AI repository fork on Github
Steps to deploy Flowise AI on Render
Steps to create chatflow in Flowise AI for PDF document Upload to Pinecone Vector Database
Test to check PDF Upload Chatflow
Steps to create chatflow on Flowise AI for Question Answering with PDF document uploaded
Testing the PDF Query Chatflow , and creating a fully functional chatbot for a website landing page
Steps to integrate Flowise Chatflow APIs with Bubble
Steps to create PDF upload page in bubble application
Elaborate step by step tutorial to create an application to chat with your own PDFs , using No Code Tools Flowise AI and Bubble .
With no prior programming experience needed, you will learn how Question Answering with Private Data works , and will be able to create demo application , using power of Generative AI and Large Language Models like Open AI
No Code Tools Used :
Flowise AI
Bubble[dot]io
What is Flowise AI :
Flowise AI is a drag-and-drop interface for creating LLM flows using LangchainJS. It is an open-source project on GitHub that allows you to construct LLM apps fast and effortlessly. Flowise is a strong tool for experimenting with LLMs and developing LLM-based apps.
What is Bubble[dot]io :
Bubble[dot]io is a no-code app development framework that lets you design, develop, host, and scale applications without writing any code.
In simple words, Bubble is an online platform that allows users to develop applications without writing code. You build the application using a drag-and-drop interface in the browser, and then Bubble acts as the platform that serves your application.
Primarily appealing to non-technical users who want to build no-code web applications without knowing the industry's traditional tools.
Topics Covered:
Retrieval Augmented Generation (RAG) flow for Question Answering using Generative AI
Creating Open AI API Key and Pinecone vector database secret key
Creating Fork for Flowise AI on GitHub
Deploying Flowise AI on Render
Creating Chatflow for PDF upload on Flowise AI
Creating Chatflow for PDF Query on Flowise AI
Creating Landing Page Chatbot via Embedding
Creating PDF Upload Page on Bubble and integrating with Flowise AI API
Creating PDF Question Answering Page on Bubble and integrating with Flowise AI API
Exploring Flowise AI Features