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Explore advanced techniques for building a conversational QA tool using Gemini, Langchain, and Faiss in this 26-minute video tutorial. Learn how to solve design issues from the initial approach, focusing on chat memory management and retrieval from vector stores that are aware of the conversation and topic discussed with the bot. Dive into practical implementations using the provided Jupyter notebook, and gain insights into enhancing the performance of your conversational AI systems. Build upon the concepts introduced in Part 1 to create more sophisticated and context-aware question-answering applications.
