Vector Databases for Generative AI Applications - Episode 3

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.

Introduction
Gen AI
Vector Embeddings
Vector Indexing
Chatbot and Virtual Assistant
What is Pro
Recommendation Engine
Content Creation
Challenges
Security Compliance
Open Source
Open Source in AI
Trends in AI
Outro