Join us for a meetup on September 24th! Doors open at 17.45 and we share some sandwiches and drinks before the presentations begin at 18.30. We wrap up around 20.45.
Address:
CodeNode (codenode.dk)
Gdanskgade 2
2150 Copenhagen
Denmark
Agenda:
17.45: Doors open
18.00: Pizzas, drinks and networking
18.30: From Star-ish Schema to Vector Search (and RAG)
19.15: Talk 2 tbc
20.30: Wrap up
Talks:
From Star-ish Schema to Vector Search (and RAG)
Elasticsearch had its core indexing and searching capabilities continuously improved over time, and with each new feature, it became popular for plenty of novel use cases.
In this presentation, we will see a progression of how Elasticsearch can be used, starting with its initial keyword search, up to the more recent vector search. Since the structure of the data looks similar to the Star Schema after importing it into Elasticsearch, I chose to name it “Star-ish Schema”.
As a use case, we will have an example of a wildlife database, which needs to be structured and indexed in accordance with the standards of today. Finally, I will present a demo with a RAG pipeline on top of the vector search, and prompt it with some questions about wild fauna.
*Speaker: Andrei Micu\, Software \| Data \| Machine Learning Engineering*
