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DomainSmith is a technical platform designed to transform static documents—such as manuals, datasets, and internal documentation—into interactive, domain-aware AI assistants. It solves the problem of "context-blind" AI by implementing a local Retrieval-Augmented Generation (RAG) pipeline, allowing users to query their own data privately using local
This repo builds an Advanced RAG pipeline using AutoMerging and Sentence Window retrieval with LlamaIndex for indexing and TruEra (TruLens) for evaluation. It processes the Introduction to NLP.pdf to analyze Answer Relevance, Context Relevance, & Groundedness. 💡 Quick Start: Clone, run indexing, and evaluate retrieval! 🚀