Implement RAG in 15 minutes or less using Node.js, PGVector, Langchain and GPT 4

In this video, I walk you through how you can implement RAG in 15 minutes or less Github repo - https://github.com/TheFisola/rag-poc Pgvector - https://github.com/pgvector/pgvector Langchain web loaders - https://js.langchain.com/docs/integrations/document_loaders/web_loaders Langchain recursive text splitter - https://js.langchain.com/docs/modules/data_connection/document_transformers/recursive_text_splitter Open AI embedding model - https://openai.com/blog/new-embedding-models-and-api-updates You might also enjoy: https://youtu.be/nDEDFvMKJaI Hi, my name is Fisola and I enjoy building and shipping software. You might find my projects useful: 🗑️ https://inboxpurge.com - The fastest way to clean up your Gmail Inbox 🤖 https://useletty.com - AI email writer that you can train to sound just like you Timecodes 00:00 - Intro 02:50 - Implementing RAG 14:20 - Summary & Conclusion #gpt4 #openai #ai