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title: README
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  https://cdn-uploads.huggingface.co/production/uploads/687e8e5f2a934193c10cc921/y3aliy462eANEyQCBPfOG.png
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## 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!