LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG).
(eVideo)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2024.
Format
eVideo
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Description
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Language
English
Notes
General Note
2/23/202412:00:00AM
Participants/Performers
Presenter: Kumaran Ponnambalam
Description
Learn about the basics of vector databases and how to use them in LLM caching and retrieval-augmented generation.
Description
As large language models grow in popularity, the infrastructure to be used around them also becomes vital to reduce costs, generate accurate responses, and improve efficiency. Vector databases play a vital role in several LLM use cases to help alleviate LLM shortcomings, reduce costs and latency. Knowledge of its basics and applications are vital for any engineer building applications with LLMs, and in this course, Kumaran Ponnambalam teaches you the basics of vector databases and how to use them in LLM caching and retrieval-augmented generation (RAG). Kumaran begins with a discussion on the basics of vector databases and their applications. He then explores specialized databases for storing vectors and uses the Milvus database as the reference example, and demonstrates read and write operations with the Milvus database. Learn how to use vector databases for LLM caching, with an example use case, along with examples of RAG use cases. Finally, Kumaran concludes with a discussion on optimizing vector databases.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Ponnambalam, K. (2024). LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG) . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Ponnambalam, Kumaran. 2024. LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG). linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Ponnambalam, Kumaran. LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG) linkedin.com, 2024.
MLA Citation, 9th Edition (style guide)Ponnambalam, Kumaran. LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG) linkedin.com, 2024.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
24bbfff5-9c7f-d0a6-0dda-72c865dcad7c-eng
Grouping Information
Grouped Work ID | 24bbfff5-9c7f-d0a6-0dda-72c865dcad7c-eng |
---|---|
Full title | llm foundations vector databases for caching and retrieval augmented generation rag |
Author | ponnambalam kumaran |
Grouping Category | movie |
Last Update | 2024-05-30 16:57:52PM |
Last Indexed | 2024-06-29 02:36:57AM |
Marc Record
First Detected | May 30, 2024 04:57:54 PM |
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Last File Modification Time | May 30, 2024 04:57:54 PM |
MARC Record
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