Developing LLM Applications Using RAG (feat. LangChain)
RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.
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RAG lectures are now available!
Hello, this is Kang Byeong-jin.
We have recently released a course on constructing RAG using the popular Large Language Model (LLM).
This is my main job at my company these days, and I've been struggling with this since last year... I prepared this lecture in the hopes that others will have a little less trouble.
The lecture utilizes the OpenAI API, and since it utilizes LangChain, you can easily follow along by using packages that utilize LangChain, such as Claude, Cohere, Upstage, etc. If you look at the lecture content, you can use ChatAnthropic , ChatCohere , ChatUpstage , etc. for the parts corresponding to llm in LCEL, and if you want to utilize Llama3 by utilizing Ollama , you can use ChatOllama .
If you need a lecture using Ollama or want to know more about LLM, please leave a review or question about the lecture or send me an email to jasonkang14@gmail.com . It will be helpful for me to prepare the next lecture!