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README.md

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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!