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Educational Implementation · TypeScript

rag-poc

What it is

This repository is a client-side, zero-backend Retrieval-Augmented Generation (RAG) proof-of-concept that runs entirely in the browser, using PDF.js for text extraction, Transformers.js for embeddings, and web-llm for local LLM inference. It is designed as an educational tool to demonstrate private, in-memory vector search and grounded generation.

Scored from the code at its last scan, 20 Oct 2026. How merit is scored

Where it counts

  • Machine Learning80%
  • NLP & LLMs80%
  • Data Science40%
  • AI Agents20%
  • Computer Vision10%
  • MLOps10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board
  1. 154cast-livive-netEducational Implementation · Rust60.3/100AdvancedJarad Peckenpaugh
  2. 16, shared rankAurora-SDG-Publication-ClassifierML Application · Python58.9/100AdvancedJens Mittelbach
  3. 16, shared rankrag-pocEducational Implementation · TypeScript58.9/100AdvancedJarad Peckenpaugh
  4. 18, shared rankandrej-karpathy-full-courseEducational Implementation · Jupyter Notebook58.6/100AdvancedPop Alexandru
  5. 18, shared rankneural-style-transfer-cnnML Application · Python58.6/100AdvancedPop Alexandru

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