prithivirajdamodaran

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Dense, Sparse and Hybrid Embeddings for LLMs, Multimodal Modelling & Data Engineering. Checkout my (YouTube series on V+L, linked below)

Funding Links: https://github.com/sponsors/PrithivirajDamodaran

Name: Prithivida
Location: Bangkok
Kind: user
Followers: 620
Following: 11
Repositories count: 16
Created at: 2022-11-10T11:48:21.120Z
Updated at: 2025-06-01T09:13:32.069Z
Last synced at: 2025-06-01T09:13:32.069Z

GitHub Sponsors Profile

I am a indie researcher working on information retrieval for LLMs. It Involves building better Dense, Sparse and Hybrid Representations enable RAGs for LLMs

Route0x
SPLADE Models
MiniMiracle
FlashRank
Google Scholar
I am an Independent intersectional MLE / Researcher. it's hard to sustain ongoing AI research which is a compute-heavy endeavor, Your sponsorship would directly contribute to the research.
I am actively working on Hybrid search which is better than just vector search. I don't stop at the dogma of research, I have also built and scaled real-world apps based on my research findings in hybrid search so far (fx https://savelikeapro.ai).
Problems like what is the best way to chunk your data for a RAG use-case is not yet fully solved.
I am actively working on some of the pertinent problems in the world of LLMs like better cheaper inference.

Thank you
Prithivi Da