rag-zero-to-hero-guide and RAG-Playground

rag-zero-to-hero-guide
51
Established
RAG-Playground
34
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 2/25
Adoption 3/25
Maturity 15/25
Community 14/25
Stars: 1,271
Forks: 321
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 4
Forks: 3
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About rag-zero-to-hero-guide

KalyanKS-NLP/rag-zero-to-hero-guide

Comprehensive guide to learn RAG from basics to advanced.

This guide helps developers understand and implement Retrieval Augmented Generation (RAG) systems. It provides detailed explanations, practical examples, and tools for building RAG applications from scratch or with frameworks. You'll learn how to feed various data sources into a large language model and get accurate, contextually relevant outputs.

AI development LLM engineering NLP applications data retrieval machine learning systems

About RAG-Playground

prasanna00019/RAG-Playground

A comprehensive collection of RAG (Retrieval Augmented Generation) implementations 📚✨, from foundational concepts to advanced agentic 🤖 and knowledge graph 🌐 RAGs

Scores updated daily from GitHub, PyPI, and npm data. How scores work