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