This resource explores how to build intelligent conversational AI agents using LangChain. It emphasizes the importance of memory, differentiating between short-term and long-term memory implementations with code examples. Advanced techniques like prompt engineering and retrieval augmented generation (RAG) are explained to improve contextual accuracy. The guide also focuses on ethical considerations, detailing methods for bias detection and mitigation. Furthermore, it addresses debugging memory issues and offers production-level strategies for scaling conversational agents. The goal is to empower developers to create engaging, ethical, and efficient conversational systems.
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