This is the Linux app named RAG from Scratch whose latest release can be downloaded as rag-from-scratchsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
RAG from Scratch
DESCRIPTION:
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. Each example is written with detailed explanations so that developers can understand the internal mechanics of semantic search and context-aware language generation. The repository emphasizes learning through direct implementation, allowing users to see how each component of the RAG architecture functions independently.
Features
- Step-by-step implementation of retrieval-augmented generation pipelines
- Examples demonstrating embeddings and semantic vector search
- Local vector database implementation for document retrieval
- Context integration techniques for grounding language model responses
- Re-ranking and normalization methods to improve retrieval accuracy
- Educational code walkthroughs explaining every component of the system
Programming Language
JavaScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/rag-from-scratch.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.