Tech Talk: Exploring Vector Databases & Retrieval-Augmented Generation (RAG)

Join us for an in-depth exploration into the world of Vector Databases and Retrieval-Augmented Generation (RAG), two rapidly evolving technologies reshaping the landscape of machine learning and artificial intelligence. This event is perfect for developers, data scientists, engineers, and AI enthusiasts looking to enhance their knowledge and explore practical applications.
During the event, we’ll cover:

• Vector Databases: How they store and retrieve unstructured data, including text, images, and embeddings, and why they’re critical for search engines, recommendation systems, and more.
• Retrieval-Augmented Generation (RAG): How this technique uses large language models (LLMs) combined with external knowledge sources to enhance the quality and accuracy of AI-generated content.

What You'll Learn:

• The architecture and use cases of vector databases like MongoDB Atlas, Vectara, and FAISS.
• How to integrate vector databases with LLMs for intelligent and contextually relevant data retrieval.
• Practical RAG applications, from chatbots to knowledge discovery, and how they solve real-world problems.
• Insights into the future of generative AI and its integration with cutting-edge database technology.

Who Should Attend:
Whether you're a beginner in AI or a seasoned professional, this session will provide valuable insights for anyone interested in machine learning, AI development, and the future of data management.