This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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Translated🧑🚀 Summary of the world's best LLM resources (multimodal generation, Agent, programming assistance, AI paper review, data processing, model training, model inference, o1 model, MCP, small language models, vision-language models)
A curated list of awesome ARKit projects and resources. Feel free to contribute!
- augmented-reality
- arkit
- ios
- swift
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
- agentic-ai
- agentic-rag
- agents
- rag
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- gpu-acceleration
- large-language-models
- llm
- llm-inference
Everything you need to know to build your own RAG application
- agentic-rag
- chatbot
- llm
- machine-learning
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
- knowledge-graph
- large-language-models
- retrieval-augmented-generation
- graphrag
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
- ai
- chromadb
- cookbooks
- faiss
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
Augmented reality (AR) development resources(增强现实开发资源汇总)---AIRX整理
Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series, and M3-series chips. Along with all the Devices, Operating Systems, Tools, Gaming, and Software that Apple Silicon powers.
- m1
- apple-silicon
- swiftui
- macos-apps
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
- aigc
- rag
- survey
- diffusion-models
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
- agentic
- agentic-ai
- agentic-framework
- agentic-rag
Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.
- ios
- machine-learning
- deep-learning
- augmented-reality
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
3,516 curated Figure 1 / teasers from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2026), with tier badges and FigureForge retrieval-augmented figure drafting
- aaai
- acl
- awesome-list
- cvpr
List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search
- ai
- ai-search-engine
- artificial-intelligence
- artificial-intelligence-projects
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
ARKit - Place virtual objects using ARKit.
A structured, multi-agent Claude Code learning environment for mastering Retrieval-Augmented Generation (RAG)