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.

Malte Pietsch on Vector Podcast with Dmitry Kan

Enjoy this podcast, check the show notes, and remember to subscribe to stay up to date with new episodes!

Spotify:

https://open.spotify.com/episode/3swdq7Mv6xRKBn2tQhdggQ?si=08befac94c51476f&nd=1

Apple Podcasts:

https://podcasts.apple.com/fi/podcast/vector-podcast/id1587568733?i=1000577768545

RSS:

https://rss.com/podcasts/vector-podcast/599924/

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Dmitry Kan

Dmitry Kan

325 Followers

Founder and host of Vector Podcast, tech team lead, software engineer, manager, but also: cat lover and cyclist. Host: https://www.youtube.com/c/VectorPodcast