With the popularity of generative AI, there is a need for efficient storage and processing of high-dimensional data such as text, audio, video or images.

These high-dimensional data are rare and information retrieval becomes a difficult task.

Vector databases, a specialized type of database optimized for similarity searches, enable efficient processing of high-dimensional data and manage it as vectors.

Learn about vector databases and how they are different from traditional relational databases

The references:
* how vector databases work: https://www.kdnuggets.com/2023/06/vector-databases-important-llms.html

* Introduction to FAISS: https://python.langchain.com/docs/integrations/vectorstores/faiss

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learners — professionals through simplified data science

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Additionally, here are some additional useful resources for beginners and curious data enthusiasts.

1. kaggle: a platform to learn, practice, compete and win cash prizes [https://www.kaggle.com/]

2. paperswithcode: Website featuring the latest machine learning and data science research and code implementations [https://paperswithcode.com/]

3. google colab: a platform to run code, build machine learning solutions, explore GPU and TPU capabilities without any environment setup hassle: [https://colab.research.google.com /]

Remember, “the greatest investment ever made is in personal growth and learning.”

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