A step by step guide on how to create your own knowledge base embedding, from prep knowledge data to retrieval augmented generation 🔗 Links - Join my community: https://www.skool.com/ai-builder-club/about - Follow me on twitter: https://twitter.com/jasonzhou1993 - Join my AI email list: https://www.ai-jason.com/ - My discord: https://discord.gg/eZXprSaCDE - Finetune LLM video: https://youtu.be/Q9zv369Ggfk - No code alternative: https://relevanceai.com/ - Github repo: https://github.com/JayZeeDesign/Knowledgebase-embedding ⏱️ Timestamps 0:00 What is Knowledge embedding? 4:21 Core business use cases 5:52 Step1 Prep knowledge data 6:25 Step2 Create embedding 8:34 Step3 Similarity search 9:55 Step4 Retrieval augmented generation (RAG) 12:23 Step5 Deploy 14:49 No code alternatives 👋🏻 About Me My name is Jason Zhou, a product designer who shares interesting AI experiments & products. Email me if you need help building AI apps! ask@ai-jason.com #gpt #autogpt #ai #artificialintelligence #tutorial #stepbystep #openai #llm #langchain #largelanguagemodels #largelanguagemodel #bestaiagent #chatgpt #embedding #openaiembeddings #wordembeddings