NO CODE LLM App to chat with PDFs

NO CODE LLM App to chat with PDFs, available at Free, has an average rating of 4.65, with 14 lectures, based on 41 reviews, and has 1232 subscribers.

You will learn about Build NO CODE LLM application to chat with your PDFs Create chatflows on Open Source NO CODE Langchain Based Platform- FLOWISE Create UI on NO CODE platform BUBBLE , and integrate with Flowise APIs Create API Keys on OpenAI and Pinecone vector database This course is ideal for individuals who are People with no programming experience curious about Large Language Model based applications It is particularly useful for People with no programming experience curious about Large Language Model based applications.

Enroll now: NO CODE LLM App to chat with PDFs

Summary

Title: NO CODE LLM App to chat with PDFs

Price: Free

Average Rating: 4.65

Number of Lectures: 14

Number of Published Lectures: 14

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 14

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Build NO CODE LLM application to chat with your PDFs

Create chatflows on Open Source NO CODE Langchain Based Platform- FLOWISE

Create UI on NO CODE platform BUBBLE , and integrate with Flowise APIs

Create API Keys on OpenAI and Pinecone vector database

Who Should Attend

People with no programming experience curious about Large Language Model based applications

Target Audiences

People with no programming experience curious about Large Language Model based applications

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 :

1. Flowise AI 

2. 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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Frontend and Backend

Lecture 1: Frontend and Backend of Chat PDF App

Chapter 3: Chat Flows for Question Answering PDF using Large Language Models

Lecture 1: RAG Flow ( PDF Storage and Answer Retrieval using LLMs like Open AI)

Chapter 4: Creating Open AI and Pinecone Secret Keys

Lecture 1: How to create Open AI API Key and Pinecone vector database Secret Key

Chapter 5: Creating Flowise Fork on Github

Lecture 1: How to create Flowise repository fork on Github

Chapter 6: Hosting Flowise AI on Render

Lecture 1: How to deploy Flowise AI on Render

Chapter 7: Creating ChatFlow in Flowise AI – PDF Document Upload

Lecture 1: How to create chatflow in Flowise AI – PDF Upload

Lecture 2: Test – Chat with PDF uploaded to Pinecone Vector Database

Chapter 8: Creating ChatFlow in Flowise AI – PDF Document Query

Lecture 1: How to create ChatFlow in Flowise AI – PDF Question Answering

Lecture 2: Test – Chat with PDF Uploaded using PDF Query ChatFlow

Chapter 9: Bubble – Integrating Flowise ChatFlow APIs

Lecture 1: How to integrate Flowise ChatFlow APIs with Bubble

Chapter 10: Bubble – Creating PDF Upload Page

Lecture 1: How to create PDF Upload Page

Chapter 11: Bubble – Creating Chat with PDF Page

Lecture 1: How to create conversational style Question Answering Page to chat with PDF

Chapter 12: Exploring Flowise AI components

Lecture 1: Flowise AI Integrations

Instructors

Neha Khandelwal | Engineering Manager
AI Instructor at Udemy

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 6 votes

4 stars: 11 votes

5 stars: 22 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!