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Vector Database

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May 14, 2024 4 minute read

Vector databases, a type of database specifically designed to efficiently manage and search high-dimensional data, have emerged as a crucial technology in fields like machine learning, natural language processing, and computer vision. They enable efficient handling of data represented as vectors, which is essential in various applications involving image and video analysis, text search, and recommendation systems, among others.

What are Vector Databases?

Path to Vector Database

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We've curated four courses to help you on your path to Vector Database. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Build an AI Personal Assistant with a Vector Database

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Introduction to Milvus (Vector Database) Using Python

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Introduction to Qdrant (Vector Database) Using Python

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Mastering Generative AI Project: RAG and LangChain App

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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Vector Database.

R-Trees: Theory and Applications

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Provides a comprehensive overview of the theoretical foundations of vector databases, including data structures, query processing, and evaluation.

R-Trees: Theory and Applications (Advanced...

Hardcover

$$$$

Introduction to Machine Learning with Python

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Explains dimensionality reduction techniques, which are often used in conjunction with vector databases to reduce the dimensionality of data for more efficient processing.

Introduction to Machine Learning with Python: A...

Kindle Edition

Relevant careers

Data Scientist

Machine Learning Engineer

Natural Language Processing Engineer

Computer Vision Engineer

Database Administrator

Software Engineer

Data Analyst

Researcher

Data Architect

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