Unifying Vector and Keyword Search for Enhanced LLM Performance 🚀

In this session, Ohad will talk about the transformative power of Hybrid Search and its importance within the GenAI LLM tech stack. He will also cover the challenges and limitations in vector and keyword search today and how they impact search relevancy at a large scale. 🚀

Throughout the session, we’ll review the opportunity of combining classic keyword search functions such as metadata filtering, aggregations, and TF/IDF ranking, alongside advanced vector search algorithms including k-Nearest Neighbors (k-NN) and HNSW.✅

Gain insights into real-life use cases that illustrate the need for hybrid search in achieving superior search relevancy, enhancing the potential of LLM applications to make them more powerful and versatile than ever before.