Understanding Vector Databases: Embeddings, Indexes, and Use Cases

A clear explanation of vector databases, including what vector embeddings and indexes are, how they function, and their practical applications.

AssemblyAI577.8K views4:23

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Vector Databases simply explained. Learn what vector databases and vector embeddings are and how they work. Then I'll go over some use cases for it and I briefly show you different options you can use. Resources: - Gentle introduction: https://frankzliu.com/blog/a-gentle-introduction-to-vector-databases - What is a vector database: https://www.pinecone.io/learn/vector-database/ Get your Free Token for AssemblyAI👇 https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_75 00:00 - Intro 00:44 - Why do we need vector databases 01:29 - Vector embeddings and indexes 02:58 - Use cases 03:45 - Different vector databases Vector Database Options: - Pinecone - Weaviate - Chroma - Redis - Qdrant - Milvus - Vespa ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #MachineLearning #DeepLearning
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577.8K

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4:23

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Published
May 6, 2023

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