| 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 | ||
| 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 | ||
| 01 - Learning AI-native vector databases.mp4 | 3.6 MB | ||
| 01 - Learning AI-native vector databases.srt | 1.4 KB | ||
| 01 - Machine learning models and object classification.mp4 | 6.2 MB | ||
| 01 - Machine learning models and object classification.srt | 3.5 KB | ||
| 01 - Scalability When to use a vector DB.mp4 | 8.8 MB | ||
| 01 - Scalability When to use a vector DB.srt | 4.7 KB | ||
| 01 - Structured versus unstructured data.mp4 | 8.6 MB | ||
| 01 - Structured versus unstructured data.srt | 4.8 KB | ||
| 01 - Vector DB1 E-commerce RecSys.mp4 | 20 MB | ||
| 01 - Vector DB1 E-commerce RecSys.srt | 16.3 KB | ||
| 02 - Generate the question in machine-understandable language.mp4 | 5 MB | ||
| 02 - Generate the question in machine-understandable language.srt | 2.3 KB | ||
| 02 - Human-understandable versus machine-understandable data.mp4 | 11.6 MB | ||
| 02 - Human-understandable versus machine-understandable data.srt | 5.7 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 | ||
| 02 - Vector DB2 Hybrid search.mp4 | 23.6 MB | ||
| 02 - Vector DB2 Hybrid search.srt | 16.2 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 | ||
| 02 - What you should know.mp4 | 1.7 MB | ||
| 02 - What you should know.srt | 1.3 KB | ||
| 03 - Adding data to a vector database.mp4 | 23.6 MB | ||
| 03 - Adding data to a vector database.srt | 18.3 KB | ||
| 03 - CRUD operations in vector DBs.mp4 | 23.6 MB | ||
| 03 - CRUD operations in vector DBs.srt | 17.4 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 KB | ||
| 03 - ML models and vector embeddings.mp4 | 42.6 MB | ||
| 03 - ML models and vector embeddings.srt | 28.2 KB | ||
| 03 - The superpower of vector databases.mp4 | 5.7 MB | ||
| 03 - The superpower of vector databases.srt | 3.7 KB | ||
| 03 - Vector DB3 Retrieval augmented generation.mp4 | 24.9 MB | ||
| 03 - Vector DB3 Retrieval augmented generation.srt | 15.4 KB | ||
| 04 - Challenge CRUD and performance.mp4 | 2.4 MB | ||
| 04 - Challenge CRUD and performance.srt | 1.5 KB | ||
| 04 - Challenge Search with images and text.mp4 | 2.5 MB | ||
| 04 - Challenge Search with images and text.srt | 1.4 KB | ||
| 04 - Challenge Vector DBs.mp4 | 2.8 MB | ||
| 04 - Challenge Vector DBs.srt | 1.6 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 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 | ||
| 05 - Challenge Working with vectors.mp4 | 2.4 MB | ||
| 05 - Challenge Working with vectors.srt | 1.3 KB | ||
| 05 - Solution CRUD and performance.mp4 | 25 MB | ||
| 05 - Solution CRUD and performance.srt | 14.2 KB | ||
| 05 - Solution Search with images and text.mp4 | 36.7 MB | ||
| 05 - Solution Search with images and text.srt | 25.1 KB | ||
| 05 - Solution Vector DBs.mp4 | 15.5 MB | ||
| 05 - Solution Vector DBs.srt | 10.7 KB | ||
| 06 - Solution Vector Search with Weaviate.mp4 | 26.9 MB | ||
| 06 - Solution Vector Search with Weaviate.srt | 18 KB | ||
| 06 - Solution Working with vectors.mp4 | 35.2 MB | ||
| 06 - Solution Working with vectors.srt | 27.2 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 64 total files | |||
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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| 2.3 GB | freecoursewb | 1 year | 6 | 3 | |
| 295.6 MB | freecoursewb | 2 years | 0 | 0 | |
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