How to Build AI-driven Knowledge Assistants with Vector Store, LLMs and RAG

Join our upcoming webinar as we explore the dynamic field of Artificial Intelligence. Discover how you can leverage CrateDB as a vector store using native SQL, to create a knowledge assistant powered by Generative AI.

What you will learn:
- Leveraging Vector Store Capabilities: Learn how to harness the power of vector stores using standard SQL for efficient data retrieval and manipulation, vital for powering sophisticated AI applications.
- CrateDB's Role in AI: Discover why CrateDB is a pivotal choice for AI applications, particularly for its multi-model capabilities that streamline complex data management and enhance AI-driven insights.
- Seamless Integration with Advanced AI Tools: Explore how to integrate CrateDB with LangChain and OpenAI, including the flexibility to incorporate various embedding algorithms and LLMs, to create a robust AI ecosystem.
- Practical Demonstration: Participate in an end-to-end demonstration within a Jupyter Notebook, which attendees can revisit and reference post-webinar. It provides a tangible experience on how to create a chatbot on top of your customer support database using Generative AI.

Speakers:
- Christian Kurze, VP Product at CrateDB
- Marija Selakovic, Developer Advocate at CrateDB