Linkedin - Introduction to AI-Native Vector Databases

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[ FreeCourseWeb.com ] Linkedin - Introduction to AI-Native Vector Databases
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction
    • 01 - Learning AI-native vector databases.mp4 (3.6 MB)
    • 01 - Learning AI-native vector databases.srt (1.4 KB)
    • 02 - What you should know.mp4 (1.7 MB)
    • 02 - What you should know.srt (1.3 KB)
    • 03 - The superpower of vector databases.mp4 (5.7 MB)
    • 03 - The superpower of vector databases.srt (3.7 KB)
    02 - 1. Data What Data Do Vector Databases Store and How Is It Stored
    • 01 - Structured versus unstructured data.mp4 (8.6 MB)
    • 01 - Structured versus unstructured data.srt (4.8 KB)
    • 02 - Human-understandable versus machine-understandable data.mp4 (11.6 MB)
    • 02 - Human-understandable versus machine-understandable data.srt (5.7 KB)
    • 03 - Drawing out and visualizing vector representations of data.mp4 (10.2 MB)
    • 03 - Drawing out and visualizing vector representations of data.srt (6.0 KB)
    • 04 - Introduce the concept of distance between two vectors.mp4 (5.8 MB)
    • 04 - Introduce the concept of distance between two vectors.srt (4.0 KB)
    • 05 - Challenge Working with vectors.mp4 (2.4 MB)
    • 05 - Challenge Working with vectors.srt (1.3 KB)
    • 06 - Solution Working with vectors.mp4 (35.2 MB)
    • 06 - Solution Working with vectors.srt (27.2 KB)
    03 - 2. Natural Querying How Do You Search for Data in a Vector Database
    • 01 - Frame the query as a question or search.mp4 (5.7 MB)
    • 01 - Frame the query as a question or search.srt (3.3 KB)
    • 02 - Generate the question in machine-understandable language.mp4 (5.0 MB)
    • 02 - Generate the question in machine-understandable language.srt (2.3 KB)
    • 03 - Adding data to a vector database.mp4 (23.6 MB)
    • 03 - Adding data to a vector database.srt (18.3 KB)
    • 04 - Performing semantic searches using Weaviate.mp4 (36.1 MB)
    • 04 - Performing semantic searches using Weaviate.srt (23.7 KB)
    • 05 - Challenge Vector search with Weaviate.mp4 (2.3 MB)
    • 05 - Challenge Vector search with Weaviate.srt (1.3 KB)
    • 06 - Solution Vector Search with Weaviate.mp4 (26.9 MB)
    • 06 - Solution Vector Search with Weaviate.srt (18.0 KB)
    04 - 3. Machine Learning Vectors How Does a Vector Database Understand Your Data
    • 01 - Machine learning models and object classification.mp4 (6.2 MB)
    • 01 - Machine learning models and object classification.srt (3.5 KB)
    • 02 - Translating data from human to machine-understandable.mp4 (6.6 MB)
    • 02 - Translating data from human to machine-understandable.srt (3.8 KB)
    • 03 - ML models and vector embeddings.mp4 (42.6 MB)
    • 03 - ML models and vector embeddings.srt (28.2 KB)
    • 04 - Challenge Search with images and text.mp4 (2.5 MB)
    • 04 - Challenge Search with images and text.srt (1.4 KB)
    • 05 - Solution Search with images and text.mp4 (36.7 MB)
    • 05 - Solution Search with images and text.srt (25.1 KB)
    05 - 4. Scalability What Does a Vector Database Need to Do
    • 01 - Scalability When to use a vector DB.mp4 (8.8 MB)
    • 01 - Scalability When to use a vector DB.srt (4.7 KB)
    • 02 - Ways to measure performance of a vector DB.mp4 (8.5 MB)
    • 02 - Ways to measure performance of a vector DB.srt (4.2 KB)
    • 03 - CRUD operations in vector DBs.mp4 (23.6 MB)
    • 03 - CRUD operations in vector DBs.srt (17.4 KB)
    • 04 - Challenge CRUD and performance.mp4 (2.4 MB)
    • 04 - Challenge CRUD and performance.srt (1.5 KB)
    • 05 - Solution CRUD and performance.mp4 (25.0 MB)
    • 05 - Solution CRUD and performance.srt (14.2 KB)
    06 - 5. Demonstrate Vector DBs and Use Cases
    • 01 - Vector DB1 E-commerce RecSys.mp4 (20.0 MB)
    • 01 - Vector DB1 E-commerce RecSys.srt (16.3 KB)
    • 02 - Vector DB2 Hybrid search.mp4 (23.6 MB)
    • 02 - Vector DB2 Hybrid search.srt (16.2 KB)
    • 03 - Vector DB3 Retrieval augmented generation.mp4 (24.9 MB)
    • 03 - Vector DB3 Retrieval augmented generation.srt (15.4 KB)
    • 04 - Challenge Vector DBs.mp4 (2.8 MB)
    • 04 - Challenge Vector DBs.srt (1.6 KB)
    • 05 - Solution Vector DBs.mp4 (15.5 MB)
    • 05 - Solution Vector DBs.srt (10.7 KB)
    07 - Conclusion
    • 01 - Continue your AI-native vector databases learning journey.mp4 (2.5 MB)
    • 01 - Continue your AI-native vector databases learning journey.srt (1.7 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Introduction to AI-Native Vector Databases

https://FreeCourseWeb.com

Released 12/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 47m | Size: 436 MB

The primary purpose of vector databases is to provide fast and accurate similarity search or nearest neighbor search capabilities. The integration of AI techniques in vector databases enhances their capabilities, improves search accuracy, optimizes performance, and enables more intelligent and efficient management of high-dimensional data. In this course, Zain Hasan introduces this foundational technology—which is already being used in industries like ecommerce, social media, and more. Zain covers everything from foundational concepts around AI-first vector databases to hands-on coding labs for question answering using LLMs.



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436.8 MB
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Linkedin - Introduction to AI-Native Vector Databases


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