Beyond Keywords: A Hands-on Guide to Modern Semantic Search Techniques

Curious about integrating semantic search into your AI applications but unsure where to start?

Join this session, as the speaker unpacks the evolution of embedding models and their role in semantic search. This session covers the shift from keyword search to sparse and dense embeddings, multilingual search, vector databases, rerankers, and advanced retrieval techniques like agentic and cascading search. Through an interactive demo, you'll gain hands-on insights into building high-performance AI applications with semantic search. Walk away with practical knowledge to enhance your AI-powered search capabilities!

Key Takeaways:

• Understand the evolution of embedding models and techniques powering semantic search.
• Learn how vector databases, rerankers, and retrieval strategies enhance AI applications.
• Explore search evaluation techniques and advanced approaches like agentic and cascading retrieval.
• Gain hands-on insights through an interactive demo showcasing real-world search innovations.

As a Developer Advocate at Pinecone, Arjun Patel creates educational content on vector databases, retrieval augmented generation, and semantic search across various platforms. With a BA in Statistics from the University of Chicago, he brings extensive expertise in natural language processing, deep learning, and large language models to his role. His professional journey includes data science projects at Speeko and Appen, where he contributed to AI-driven speech coaching and AI-generated content detection, respectively. Beyond his professional pursuits, Arjun is an accomplished origami artist, blending analytical thinking with creative expression in his decade-long hobby. You can reach him on LinkedIn.