How to Build the Ultimate Hybrid Search with Qdrant

Great presentation! Nice to see the different search options in practice 🙏🏾

More of these!

Fantastic video! I loved how clearly you explained building the ultimate hybrid search with Qdrant. The step-by-step guide and practical examples made it so easy to follow. Can't wait to implement this in my projects! Any tips on optimizing performance for large datasets? Thanks for sharing!

can i use bm25 in combination with open ai embedding (tekt-embedding-3-smal)? I intend to put about 300 GB of pdf books in qdrant?is there a problem if i omit late interaction embedding?

these new qdrant features look insane, great webinar, I have to test all this myself, really inspiring, thanks!

Kacper, is there a way to reach out to you?

this got better customizability compared to llamaindex

Excellent video, I watched it twice :-) Thank you very much.

Is there a way if we can assign weights to dense and sparse model?

I am a bit of an IR geek and I have tried many IR databases. This is by far the cleanest implementation and most complete approach for phased retrieval. Kudos to the team. BEAUTIFUL !!!