Frank Liu, ML Architect, Zilliz Abstract: In this data-driven world, businesses face the challenge of efficiently extracting valuable insights from massive amounts of information. Vector databases have emerged as a powerful tool to address this challenge. Combined with the power of LLMs and computer vision, vector databases enable businesses to leverage unstructured textual and visual data efficiently. This combination helps businesses enhance customer experiences through personalized recommendations, accurate image searches, and immersive content discovery. In this session, I explore how vector search can help you extract actionable insights, identify emerging trends, mitigate risks, and capitalize on untapped market opportunities in an increasingly competitive landscape. You’ll learn: - What is a vector database - How it fits into the LLM ecosystem - How vector databases can improve AI app performance and scalability