AI applications are proliferating with more new apps every day, spanning AI dating, fitness, investing, medicine, mental health, PII-sensitive internal document searches, and viral video shorts generation. One thing all of these new AI-generated applications have in common is unstructured data - web pages, medical records, psychology notes, PDF forms, images, or videos. In this context, it is becoming increasingly important to be able to efficiently utilize vector databases for unstructured data querying.

In this lightning talk, I will give a quick overview of key concepts essential for utilizing vector databases and vector search. I’ll cover unstructured data embeddings, vector indexing, search algorithms, and distance measures. Listen to this talk to discover best practices for querying vector databases using open-source Milvus!