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Tom Chant
Instructor
Tutor at Scrimba with experience since 2004. Specializes in JavaScript, Node.js, and making coding accessible and pain-free for learners.
Completion
Certificate included
Format
Interactive coding
Free
LangChain.js fundamentals
Text splitting and chunking strategies
OpenAI embeddings and vector conversion
Supabase vector store setup and usage
LangChain Expression Language (LCEL)
Put yourself on the bleeding edge of AI by harnessing the power of LangChain Expression Language to build a chatbot that has deep knowledge of a provided document. In this course, you'll use LangChain.js to build a chatbot that can answer questions on specific text - one of the holy grails of AI. First, learn about using LangChain to split text into chunks, convert chunks to vectors using OpenAI embeddings, and store them in a Supabase vector store. Next, study chains using LangChain Expression Language. Finally, tackle retrieval using vector matching to select relevant text chunks from your vector store. This enables the chatbot to answer questions specific to your data - a critical skill for real-world AI applications.
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