All the flavors of AI-powered search
10:00 - 10:30, 28th of May (Wednesday) 2025 / DEV AI & DATA STAGE
Machine Learning has revolutionized how we find relevant documents given a query based on its semantics, not keywords. In its basic form, vector search relies on single vector representations using the same model for queries and documents. Currently, we're experiencing a second wave of vector search, enabling new modalities to be searchable. Do you want to search over vast amounts of PDFs? OCR is no longer needed, as modern vector search architectures can handle that with no additional parsing.
Why should you care about search? The "R" in RAG stands for Retrieval, which is just a different name for search. The better you can find what's relevant, the higher the quality of AI responses you may expect.
Let's review the current state of AI-powered search, including multivector representations such as ColPali.
