Creating a Chat Tool Using OpenAI Models and Pinecone

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Guil Hernandez

1:31:25

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01 - Introduction

01 - Building context-aware AI tools with custom knowledge bases.mp4

00:50

02 - What you should know about AI and JavaScript.mp4

00:58

03 - Set up the project.mp4

03:06

02 - 1. Text Embeddings

01 - The importance of embeddings in generative AI.mp4

02:49

02 - Create embeddings with OpenAI.mp4

06:59

03 - Pair embeddings with related text.mp4

03:33

04 - Text chunking for embeddings.mp4

07:14

05 - Challenge Chunk text and create embeddings.mp4

02:39

06 - Solution Chunk text and create embeddings.mp4

02:53

03 - 2. Vector Databases

01 - The power of vector databases.mp4

02:46

02 - Set up a vector database with Pinecone.mp4

03:06

03 - Store embeddings in Pinecone.mp4

08:16

04 - What is semantic search.mp4

03:10

05 - Send queries to Pinecone.mp4

09:03

06 - Challenge Insert and retrieve data from Pinecone.mp4

01:41

07 - Solution Insert and retrieve data from Pinecone.mp4

04:48

04 - 3. Conversational Responses with OpenAI and Pinecone

01 - Retrieval-augmented generation (RAG).mp4

03:14

02 - Create replies and manage messages with OpenAI.mp4

07:57

03 - Form a reply from multiple database matches.mp4

04:15

04 - Enhance the AIs context awareness.mp4

05:34

05 - Handling errors.mp4

04:56

05 - Conclusion

01 - Next steps.mp4

01:38

Description

Embeddings and vector databases allow developers to create tools that can retrieve knowledge from custom documents and use it to form more accurate and dynamic conversations. But while cutting-edge AI models like ChatGPT can generate useful conversational responses to many different kinds of queries, the replies are always limited to the data that was available when the model was last trained. In this course, instructor Guil Hernandez offers an overview of text embeddings, vector databases, and retrieval-augmented generation (RAG) to elevate and optimize your AI learning journey. Along the way, test out your new skills in the exercise challenges provided at the end of each section.

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Artificial Intelligence

Guil Hernandez

Instructor's Courses

Thoughtful and impassioned developer and educator with over 15 years of experience in tech. Enthusiasm for lifelong learning and empowering people through technology education and mentoring. Enjoys speaking about learning and programming at local meetups and conferences across the US.

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.