microsoft/markitdown
Python tool for converting files and office documents to Markdown.
RAG, Memory & Knowledge
66 starred repositories in this area.
66 result(s)
firecrawl/firecrawl
The context API to search, scrape, and interact with the web at scale. 🔥
mem0ai/mem0
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
run-llama/llama_index
LlamaIndex is the leading document agent and OCR platform
langchain-ai/langgraph
Build resilient agents.
HKUDS/LightRAG
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
VectifyAI/PageIndex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
getzep/graphiti
Build Real-Time Knowledge Graphs for AI Agents
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
supermemoryai/supermemory
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
HKUDS/RAG-Anything
"RAG-Anything: All-in-One RAG Framework"
comet-ml/opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
pydantic/pydantic-ai
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Unstructured-IO/unstructured
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
The-Pocket/PocketFlow
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
CVHub520/X-AnyLabeling
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
jasontang-ai/Context-Engineering
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
MervinPraison/PraisonAI
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
WangRongsheng/awesome-LLM-resources
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
lavague-ai/LaVague
Large Action Model framework to develop AI Web Agents
nlweb-ai/NLWeb
Main reference implementation for NLWeb, implemented in Python.
unslothai/notebooks
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
PeterGriffinJin/Search-R1
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
run-llama/llama_cloud_services
Knowledge Agents and Management in the Cloud
mongodb-developer/GenAI-Showcase
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.
bragai/bRAG-langchain
Everything you need to know to build your own RAG application
gusye1234/nano-graphrag
A simple, easy-to-hack GraphRAG implementation
RUC-NLPIR/FlashRAG
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
agentscope-ai/ReMe
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
decodingai-magazine/second-brain-ai-assistant-course
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
echohive42/AI-reads-books-page-by-page
AI reads books: Page-by-Page PDF Knowledge Extractor & Summarizer. script performs an intelligent page-by-page analysis of PDF books, methodically extracting knowledge points and generating progressive summaries at specified intervals
NVIDIA/NeMo-Retriever
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
memodb-io/memobase
User Profile-Based Long-Term Memory for AI Chatbot Applications.
RManLuo/Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
microsoft/PIKE-RAG
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
zjukg/KG-LLM-Papers
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
ammaarreshi/Gemini-Search
Perplexity style AI Search engine clone built with Gemini 2.0 Flash and Grounding
HKUDS/MiniRAG
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
shcherbak-ai/contextgem
ContextGem: Effortless LLM extraction from documents
onestardao/WFGY
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
lotus-data/lotus
Optimized Agentic and LLM Bulk Processing Over Your Data
lizhe2004/Awesome-LLM-RAG-Application
the resources about the application based on LLM with RAG pattern
AkariAsai/OpenScholar
This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.
KalyanKS-NLP/rag-zero-to-hero-guide
Comprehensive guide to learn RAG from basics to advanced.
jxzhangjhu/Awesome-LLM-RAG
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
xianshang33/llm-paper-daily
Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
stair-lab/kg-gen
[NeurIPS '25] Knowledge Graph Generation from Any Text
vec2text/vec2text
utilities for decoding deep representations (like sentence embeddings) back to text
TheAiSingularity/graphrag-local-ollama
Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction
BaranziniLab/KG_RAG
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama
Microsoft's GraphRAG + AutoGen + Ollama + Chainlit = Fully Local & Free Multi-Agent RAG Superbot
ImprintLab/Medical-Graph-RAG
A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]
caspianmoon/memoripy
Evidence-first local memory for AI agents with temporal versions, admission policies, citations, explainable recall, MCP, and audit tooling.
deepset-ai/haystack-cookbook
👩🏻🍳 A collection of example notebooks using Haystack
zjunlp/OmniThink
[EMNLP 2025] OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
iamarunbrahma/vision-parse
Parse PDFs into markdown using Vision LLMs
frutik/Awesome-RAG
RAG 相關資源、實作與評估方法的精選清單。
notoriouslab/doc-cleaner
日常文件轉 Markdown —— 涵蓋 PDF、Office、Apple Keynote／Numbers、EPUB 電子書等 16 種格式。中文友好、表格保留、隱私優先、全程本地。
SNOWTEAM2023/MedRAG
醫療領域的檢索增強生成研究專案。
ictnlp/FlexRAG
FlexRAG: A RAG Framework for Information Retrieval and Generation.
getzep/zep-python
Build Agents That Recall What Matters. Systematically engineer relevant context from chat history & business data. (Python Client)
YHPeter/Awesome-RAG-Evaluation
The official repository for the paper: Evaluation of Retrieval-Augmented Generation: A Survey.
chrschy/fact-finder
用知識圖譜替 LLM 的回答找事實依據的實驗性專案。
MFYDev/odoo-expert
RAG-powered documentation assistant that converts, processes, and provides semantic search capabilities for Odoo's technical documentation. Supports multiple Odoo versions with an interactive chat interface powered by LLM models.
ww-jermaine/Knowlege-Graphs-for-RAG
用知識圖譜做 RAG 的教學 notebook。