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Search quality is the most important factor defining user experience in Retrieval Augmented Generation (RAG) systems. This session will explore how hybrid vector search and optimized embeddings are crucial for productionizing this technology and significantly improving search quality.

RAG hybrid vector search embeddings
Session #9: Google AI Seminar (Virtual)

Important: Register on the external event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Vertex AI Vector Search and Embeddings Speaker: Kaz Sato (Google)

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 400K+ AI developers worldwide.

AICamp Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations

Session #9: Google AI Seminar (Virtual)
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