Chatbots with RAG: LangChain Full Walkthrough

In this video, we work through building a chatbot using Retrieval Augmented Generation (RAG) from start to finish. We use OpenAI's gpt-3.5-turbo Large Language Model (LLM) as the "engine", we implement it with LangChain's ChatOpenAI class, use OpenAI's text-embedding-ada-002 for embedding, and the Pinecone vector database as our knowledge base.

📌 Code:
https://github.com/pinecone-io/examples/blob/master/learn/generation/langchain/rag-chatbot.ipynb

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00:00 Chatbots with RAG
00:59 RAG Pipeline
02:35 …

ada building chatbot chatbots code database embedding gpt gpt-3 gpt-3.5 gpt-3.5-turbo knowledge knowledge base langchain language language model large language large language model llm openai pinecone rag retrieval retrieval augmented generation text through turbo vector vector database video walkthrough work