Keyword vs Vector Search: Pros, Cons, and Implementation Techniques

This 30-minute tutorial from Trelis Research explores the differences between keyword and vector search methodologies for information retrieval. Learn the pros and cons of each approach, with detailed explanations of how vector search embeds semantic meaning and how keyword search focuses on exact matches. Discover techniques for handling challenges like long documents and new/infrequent words, and explore how LLMs can optimize queries. The video covers practical implementations including Postgres libraries for search and how to implement BM25 in Postgres using tensorchord's vectorchord-bm25. Gain insights into hybrid search techniques that combine the strengths of both methods for more effective information retrieval systems. The presentation includes timestamps for easy navigation through topics ranging from basic search concepts to advanced implementation strategies.