Description
Vector database using LLM with demo. This hands-on course teaches you how to use vector databases and integrate them with large language models (LLM) to build AI applications. You will understand the fundamentals of vector databases and high-dimensional data management, and learn how language models such as GPT generate embeddings and interact with vector stores. You will explore real-world applications such as semantic search systems for e-commerce, providing personalized recommendations, building advanced chatbots, and content discovery. The course includes step-by-step demos for importing data, querying, and updating information. Scaling strategies, performance optimization techniques, security best practices, various indexing methods, caching mechanisms, and integration with other tools are also covered. Drawing on concrete examples and practical exercises, you will gain the ability to use vector operations, similarity search, and advanced queries to develop innovative solutions, and ultimately, gain the skills and confidence needed to create powerful AI applications.
What you will learn
- Explain the principles of vector databases and high-dimensional data storage for artificial intelligence applications.
- Integrating large language models with vector databases to enable semantic search and text understanding.
- Implement similarity search, recommendations, and advanced queries using vector operations and indexing.
- Building a real demo application that combines LLMs and vector databases for intelligent data management.
This course is suitable for people who:
- Beginner to intermediate developers who are curious about vector databases and large language models.
- Data scientists and machine learning engineers who want to improve search, recommendation, and NLP applications.
- Students and researchers exploring high-dimensional data management and AI-based solutions.
Course details Vector database using LLM with demo
- Publisher: Udemy
- Instructor: Tech Jedi
- Training level: Beginner to advanced
- Training duration: 2 hours and 52 minutes
- Number of lessons: 40
Course headings
Prerequisites for the Vector database using LLM course with demo
- No prior experience with vector databases or LLMs is required — this course starts from the basics.
- Basic understanding of databases or data structures is helpful but not mandatory.
- Familiarity with Python programming will be useful for hands-on demos and examples.
- Access to a computer with internet connection to install required tools and follow along with exercises.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
1.8 GB
