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A walkthrough of building a chatbot with retrieval augmented generation, using LangChain, OpenAI embeddings, and Pinecone as a vector database. It covers adding retrieved context to prompts and testing the chatbot.
Syllabus
Chatbots with RAG
RAG Pipeline
Hallucinations in LLMs
LangChain ChatOpenAI Chatbot
Reducing LLM Hallucinations
Adding Context to Prompts
Building the Vector Database
Adding RAG to Chatbot
Testing the RAG Chatbot
Important Notes when using RAG
Taught by
James Briggs