location: html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(7)
text: 00:00 Relevant experience in vector DB projects and talks.05:57 Match image features, not resilient to changes.07:06 Compute crop vectors, and train to converge.11:37 Simple training task, improve with hard examples.15:25 Improving text embeddings using hard examples.22:29 Future of image embedding for document search.27:28 Efficient storage and retrieval process feature.29:01 Models handle varied data; sparse vectors now possible.35:59 Use memory, avoid disk for CI integration.37:43 Challenging metadata filtering for vector databases and new models