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---
title: README
emoji: 🏃
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colorTo: pink
sdk: static
pinned: false
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/687e8e5f2a934193c10cc921/y3aliy462eANEyQCBPfOG.png
---
## 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! |