Search Results for "scratch"

RAG From Scratch is an educational open-source project designed to teach developers how retrieval-augmented generation systems work by building them step by step. Instead of relying on complex frameworks or cloud services, the repository demonstrates the entire RAG pipeline using transparent and minimal implementations. The project walks through key concepts such as generating embeddings, building vector databases, retrieving relevant documents, and integrating the retrieved context into language model prompts. ...

AI Agents from Scratch is an educational repository designed to teach developers how to build autonomous AI agents using large language models and modern AI frameworks. The project walks through the process of constructing agents step by step, beginning with simple prompt-based interactions and gradually introducing more advanced capabilities such as planning, tool use, and memory.

...By offering a visual representation of workflows, PySpur makes it easier to debug interactions between components and identify failures in complex pipelines. It supports iterative experimentation, allowing developers to rapidly improve agents without rebuilding systems from scratch. PySpur also enables deployment of finalized workflows after testing, making it suitable for both development and production use. Overall, it acts as an integrated environment for designing, evaluating, and managing AI-driven processes.

...David AI includes a variety of interactive UI elements such as accordions, modals, dropdowns, and tooltips that can be used to construct complex interfaces without building them from scratch. It supports both simple module imports and more advanced programmatic usage with TypeScript, giving developers greater control over component behavior and configuration. It emphasizes developer experience, performance, and maintainability.

Illustrations of Neural Network architectures are often time-consuming to produce, and machine learning researchers all too often find themselves constructing these diagrams from scratch by hand. NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages. The tool provides the ability to generate figures of three kinds: classic Fully-Connected Neural Network (FCNN) figures, Convolutional Neural Network (CNN) figures of the sort introduced in the LeNet paper, and Deep Neural Network figures following the style introduced in the AlexNet paper. ...