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1
Introduction
2
Gen AI
3
Vector Embeddings
4
Vector Indexing
5
Chatbot and Virtual Assistant
6
What is Pro
7
Recommendation Engine
8
Content Creation
9
Challenges
10
Security Compliance
11
Open Source
12
Open Source in AI
13
Trends in AI
14
Outro
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into the world of vector databases and their crucial role in generative AI applications in this 40-minute training session from Canonical Ubuntu's AI Summer Camp. Explore the fundamentals of retrieval augmented generation (RAG), understand the significance of search engines, and discover efficient open-source tools for building generative AI applications. Learn about vector embeddings, indexing techniques, and their applications in chatbots, virtual assistants, recommendation engines, and content creation. Examine the challenges, security considerations, and compliance issues in AI development. Gain insights into the importance of open-source technologies in AI and stay updated on the latest trends shaping the field.

Vector Databases for Generative AI Applications - Episode 3

Canonical Ubuntu
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