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New course: Vector Databases: from Embeddings to Applications with Weaviate
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DeepLearning.AI Courses - New course: Vector Databases: from Embeddings to Applications with Weaviate

5.0 (2)
18 learners

What you'll learn

This course includes

  • 5.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

Enroll now: https://bit.ly/3Qs4z5o With the increasing adoption of Large Language Models (LLMs), vector databases have emerged as indispensable assets as they provide LLMs with access to real-time and proprietary data, enabling the development of Retrieval Augmented Generation (RAG) applications. In "Vector Databases: from Embeddings to Applications," you’ll gain the knowledge to make informed decisions about when and how to apply vector databases to your applications. You’ll explore: -How to use vector databases and LLMs to gain deeper insights into your data. -Build labs that show how to form embeddings and use several search techniques to find similar embeddings. -Explore algorithms for fast searches through vast datasets and build applications ranging from RAG to multilingual search. -Acquire practical coding skills in vector databases. Start using vector databases efficiently today! Learn more: https://bit.ly/3Qs4z5o

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