GitHub - Filimoa/open-parse: Improved file parsing for LLM’s
using chunking in learning—whether it involves large numbers or large amounts of textual or perhaps even visual information—will help your learners manage their working memory, and help them understand where to focus their limited attention at any given point.
Julie Dirksen • Design for How People Learn (Voices That Matter)
🧠 DriveToRAG - Turn Your Google Drive into an AI Agent Ready RAG Knowledge Base - n8n workflow
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Ragas is a framework that helps you evaluate your Retrieval Augmented Generation (RAG) pipelines. RAG denotes a class of LLM applications that use external data to augment the LLM’s context. There are existing tools and frameworks that help you build these pipelines but evaluating it and quantifying your pipeline performance can be hard. This is wh... See more
explodinggradients • GitHub - explodinggradients/ragas: Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
GitHub - bhavnicksm/chonkie: 🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
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