AI & ML interests
LLM, NLP, HF Datasets, Agentic RAG
Recent Activity
RAG-Experiments
Exploring Retrieval-Augmented Generation (RAG) methods with practical, reproducible experiments. We focus on building lightweight APIs, model comparisons, and exploratory demos around RAG, vector databases, embeddings, and evaluation.
What We Do
Minimal RAG APIs (FastAPI + FAISS + embeddings).
Comparative experiments: Markov chains vs. LLMs, chunking strategies, rerankers.
End-to-end Spaces for testing retrieval and generation workflows.
Educational, open, and reproducible — for the community.
Projects
Minimal RAG API
Chunking, reranking, and persistence strategies (ongoing)
Contributors
This org is developed and maintained by:
Naga Adithya Kaushik — ML Engineer, GenAI enthusiast.
Join the Journey
All experiments are open-source and community-friendly.
Check out the Spaces, fork projects, and share feedback!