Essential Concepts of Vector Databases
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 4 Hours Duration | 1.54 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 4 Hours Duration | 1.54 GB
Genre: eLearning | Language: English
This course offers a deep dive into vector databases, starting with the essential prerequisites and an overview of the course structure. You'll gain a solid understanding of the fundamental concepts and applications of vector databases, including why they are increasingly important in modern data management. The course covers the differences between traditional and vector databases, highlighting the limitations and advantages of each.
As you progress, you'll explore various vector database solutions, focusing on top contenders like Chroma and Pinecone. Detailed hands-on sessions will guide you through setting up development environments, creating and querying databases, and understanding key metrics and data structures. You'll also delve into vector similarity measures, such as cosine similarity and Euclidean distance, to enhance your data analysis skills.
The final sections integrate vector databases with Large Language Models (LLM) and the LangChain framework, providing a comprehensive workflow from document loading to generating responses. You'll also receive guidance on choosing the right vector database for your needs, with comparison tables and criteria to consider. By the end of this course, you'll have a thorough understanding of vector databases and practical experience in using them for advanced data management tasks.
What you will learn
Grasp the fundamental concepts and applications of vector databases.
Analyze the differences between traditional and vector databases.
Set up and use vector databases like Chroma and Pinecone.
Apply vector similarity measures for advanced data analysis.
Use Large Language Models and frameworks like LangChain with vector databases.
Understand the fundamentals of vector databases and their importance in data management.
Audience
This course is designed for data scientists, database administrators, and software developers with a basic understanding of databases and programming. Prerequisites include familiarity with Python and basic knowledge of database concepts.
About the Author
Paulo Dichone:
Paulo Dichone, a dedicated developer and educator in Android, Java, and Flutter, has empowered over 80,000 students globally with both soft and technical skills through his platform, Build Apps with Paulo. Holding a Computer Science degree and with extensive experience in mobile and web development, Paulo's passion lies in guiding learners to become proficient developers. Beyond his 5 years of online teaching, he cherishes family time, music, and travel, aiming to make impactful developers irrespective of their background.