CAG
hhhuang
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
OPENAGENTSKILL / DIRECTORY
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Results: 69
hhhuang
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
zjunlp
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
DEEP-PolyU
[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
DataScienceUIBK
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets a…
umbertogriffo
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
automataIA
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from docume…
tonykipkemboi
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
BaranziniLab
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
agentscope-ai
Benchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accu…
Denis2054
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of O…
pal-robotics
Software package and ROS wrappers of the Aruco Augmented Reality marker detector library
Fantasy-AMAP
FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers
TencentARC
The official implementation of paper "ColorFlow: Retrieval-Augmented Image Sequence Colorization". ColorFlow:基于检索增强的图像序列上色
RafalWilinski
Fullstack "Chat with your PDFs" RAG (Retrieval Augmented Generation) app built fully on Cloudflare
giuseppe-trisciuoglio
Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG application…
NisaarAgharia
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.