Connor is one of the top professionals in the Vector Search field I know for two years now. He has a background in Academia working on deep learning, which is a definite unfair advantage when it comes to the core of this field. He is not only able to recommend…

We often talk about neural networks, vector search, MLOps, search scalability and cost. But one topic that deserves more attention is where this journey begins: data. 🎙 In this episode (recorded right before Christmas) with Evgeniya Sukhodolskaya (Jenny), Data Advocate at Toloka, you’ll dive into the topic of data labeling…

Around two weeks ago I had a big honor to deliver the keynote at the Haystack EU conference held in Berlin, Germany. In it, I’ve shared some of my learnings from interviewing Vector Search makers in the Vector Podcast. Worth sharing them here: Malte Pietsch (CTO Deepset, Haystack): Metric blindness …

Vector Podcast episode with Doug Turnbull, Staff Relevance Engineer, Shopify New episode of Vector Podcast, Season 2! I’ve had an immense pleasure to talk to a mogul in Search world, original creator of Quepid (Search Quality Assurance and Toolbox I recommend to all my clients), Splainer, Learning to Rank plugin for Elasticsearch and an educational GitHub repo hello-ltr, author of…

Vector Podcast episode with Malte Pietsch, CTO at Deepset Big language models are a new trend that is about to launch and influence NLP and search engines. NLP with advances in Deep Learning is getting behind fascinating use cases, like question answering in healthcare and finance. Haystack platform enables you to create flexible search pipelines, starting with document conversions (say, pdf to text), extracting metadata useful for search & filter later, proceeding to semantic indexing and similarity matching. You can combine sparse retrieval with dense search, all this being agnostic to a particular vector DB or NLP model.

Last week Thursday I spoke at Pinecone’s workshop by invitation of Greg Kogan, VP Marketing, Pinecone — one of the 7 vector databases described in my blog. The main topic was around how to choose a vector database, but we also discussed what is vector search, its use cases, aspects…

This year Berlin Buzzwords conference has reopened to offline participants for the first time after pandemic started. The conference has adopted the hybrid mode, with all talks streaming online as well. These were 2 active days full of technical talks in 3 main trains: Search, Store and Scale. I also…