Completed
15:55 - What are embeddings? How do we get them?
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Classroom Contents
Live Code Review - Pinecone Vercel Starter Template and Retrieval Augmented Generation
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- 1 0:00 - What is a Vercel template?
- 2 1:18 - How to find the template
- 3 1:51 - What is hallucination?
- 4 2:56 - Example of hallucination in a Generative AI application
- 5 5:18 - What is Retrieval Augmented Generation? Diagram
- 6 10:17 - How you can modify and deploy this template yourself
- 7 Start of the live stream recording
- 8 12:04 - Reading TypeScript signatures
- 9 14:20 - OpenAIStream responses
- 10 15:55 - What are embeddings? How do we get them?
- 11 19:55 - Initializing the Pinecone client API key & environment
- 12 21:29 - Getting matches from Pinecone vector database
- 13 23:02 - The getContext method and how it works / Metadata
- 14 26:48 - Converting the user's query into embeddings
- 15 27:40 - Summarizing what we have built so far
- 16 28:59 - The Crawler component - how it works - HTML semantics
- 17 33:26 - Zack presses Roie on how this Crawler was REALLY built :
