LangChain: Develop AI web-apps with JavaScript and LangChain

سرفصل های دوره

Create LLM applications with LangChain, OpenAI API, NextJS, and TailwindCSS

1. Environment Setup

1.1 Notion Course Texbook.html

1. 1.1 Developer Environment Setup

2. 1.2 Cloning the Repository

3. 1.3 Extensions to Make Life Easier

4. 1.4 Extensions to Make Life Easier (Cont.)

5. 1.5 Troubleshooting Guide

6. 1.6 API Keys Needed

7. 1.7 Add API Keys to Environment (Cont.)

8. 1.7 Set API Usage Limits (Optional)

9. 1.8 Quick Start Guide

2. Memory (Project)

1. 2.0 Memory Demo

2. 2.1 Theory Intro

3. 2.2 Styling the Frontend with React (Optional)

4. 2.3 Connecting the FrontendBackend in NextJS

5. 2.4 Setting up the Backend

6. 2.6 Memory Summary

7. 2.5 Handling the Response in the Frontend

8. 2.7 Conclusion

3. Streaming (Project)

1. 3.0 Streaming Demo

2. 3.1 Set up the Frontend

3. 3.2 Stream Responses from Backend

4. 3.3 Streaming Conclusion

4. PDF Chatbot (Project)

1. 4.0 PDF Chatbot Demo

2. 4.1 Set Up Pinecone

3. 4.2 Quick Review of Frontend

4. 4.3 Using PDFLoader (pdf-upload.js)

5. 4.4 Character Text Splitter (pdf-upload.js)

6. 4.5 How do Embeddings Work (pdf-upload.js)

7. 4.6 Initialize Pinecone (pdf-query.js)

8. 4.7 Vector Database Question Answer Chain (pdf-query.js)

9. 4.8 Conclusion

5. YouTube Chatbot (Project)

1. 5.0 YouTube Chatbot Demo

2. 5.1 Frontend Setup

3. 5.2 YouTube Transcript API

4. 5.3 Initialize ChatOpenAI

5. 5.4 Configure HNSWLib and ConversationalRetrievalQAChain

6. 5.5 Handling Follow Up Questions to the Chain

7. 5.6 Conclusion

6. AI Content Generator (Project)

1. 6.0 AI Content Generator Demo

2. 6.1 Overview of Project

3. 6.2 Transcript API

4. 6.3 Video Metadata

5. 6.4.1 SerpAPI Tool

6. 6.4.2 Web Browser Tool and Prompt Template

7. 6.4.3 Zero Shot Agent

8. 6.4.4 Connecting it to the Handler

9. 6.5.1 Summary

10. 6.5.2 LLM Chain Prompt Template

11. 6.6.1 Follow Up Questions

12. 6.6.2 Conclusion

7. RoboHR (Project)

1. 7.0 RoboHR Demo

2. 7.1 High Level Overview

3. 7.2 File Overview

4. 7.3 Convert Resumes to Embeddings

5. 7.4 Resume Upload Section

6. 7.7 Load Summary Chain

7. 7.8 Upload to Pinecone

8. 7.9 Vector Database Question Answer Chain

9. 7.10 Conclusion

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تولید کننده: Udemy-Training