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Learn to build generative AI applications using MongoDB's vector search capabilities in this comprehensive 2-hour course. Master the fundamentals of vector search technology and understand how it enables semantic similarity searches within MongoDB databases. Explore Retrieval-Augmented Generation (RAG) patterns by implementing systems that combine MongoDB's document storage with large language models to create context-aware AI responses. Develop AI agents that leverage MongoDB's flexible data model to store conversation history, user preferences, and dynamic knowledge bases. Gain hands-on experience with MongoDB's vector search indexes, embedding generation, and integration techniques for building production-ready generative AI applications that can scale with your data needs.
