https://learn.deeplearning.ai/building-applications-vector-databases
Learn to build six applications powered by vector databases: semantic search, retrieval augmented generation (RAG), anomaly detection, hybrid search, image similarity search, and recommender systems, each using a different dataset.
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Learn to create six exciting applications of vector databases and implement them using Pinecone.
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Build a hybrid search app that combines both text and images for improved multimodal search results.
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Learn how to build an app that measures and ranks facial similarity.
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Level: Beginner
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Instructor: Tim Tully
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Prerequisite recommendation: Basic Python, machine learning, and large language models knowledge.