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RAGBuilder

Hyperparameter tuning on various RAG parameters. A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data. A RAG has several moving parts: data ingestion, retrieval, re-ranking, generation etc..

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  1. Built a tool solve the nightmare of chunking tables in PDF vs. Markdown

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    Stop using static chunk sizes. A lightweight, production-ready RAG ingestion toolkit. Uses Docling for layout-aware parsing and applies smart heuristics for optimal chunking (PDF vs Code vs MD). Extracted from a production RAG platform

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  2. Open-Source Colab Notebooks to Implement Advanced RAG Techniques

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    This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

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  3. Tonic Validate Metrics

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    an open-source RAG evaluation metrics package

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  4. Demystifying Advanced RAG Pipelines

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    An LLM-powered advanced RAG pipeline built from scratch

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  5. RAGLite

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    A Python package for the unhobbling of RAG

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