Prompt Engineering E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8
E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8 Transcript and Lesson Notes
In this video, we will talk about the third step for building an open QnA system which is semantic search. Join us to learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps usi
Quick Summary
In this video, we will talk about the third step for building an open QnA system which is semantic search. Join us to learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps usi
Key Takeaways
- Review the core idea: In this video, we will talk about the third step for building an open QnA system which is semantic search. Join us to learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps usi
- Understand how e.33 fits into E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8.
- Understand how prompt fits into E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8.
- Understand how engineering fits into E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8.
- Understand how using fits into E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8.
Key Concepts
Full Transcript
In this video, we will talk about the third step for building an open QnA system which is semantic search. Join us to learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps using LLMs and LangChain Lecture: 8 Lesson: 7/8
Lesson FAQs
What is E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8 about?
In this video, we will talk about the third step for building an open QnA system which is semantic search. Join us to learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps usi
What key concepts are covered in this lesson?
The lesson covers e.33, prompt, engineering, using, langchain.
What should I learn before E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8?
Review the previous lessons in Prompt Engineering, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: e.33, prompt, engineering, using.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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