Create production-quality assistants with RAG and LangChain
What you will learn
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Building AI Chat Systems: How to develop a professional AI assistant from scratch using GPTβo3 and Retrieval Augmented Generation (RAG).
Integrating Your Own Data: Storing data in a vector store and using it for context-aware responses.
Real-Time Streaming: Delivering live chat responsesβsimilar to ChatGPTβto a web application.
Deployment & Scaling: Bringing the completed AI assistant online and using it in real-world projects.
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