Generative Question Answering with RAG: Clarifai and LangChain Full Walkthrough
In this video, we work through building a generative question-answering system using Retrieval Augmented Generation (RAG) from start to finish. We utilize OpenAI's GPT-3_5-turbo LLM as the engine, implement it with LangChain, and employ BAAI general model for embedding, along with the Clarifai vector database as our knowledge base.
📌 Colab Notebook: https://colab.research.google.com/dri...
🔗 Discord: / discord
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