Repository profile
A modular graph-based Retrieval-Augmented Generation (RAG) system
Repository updates
Get generated microsoft/graphrag development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-15 03:14
5 captures since 2026-05-25
Stars from baseline +1215
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-15 03:14
pyproject.toml
python ecosystem,
0 dependencies
uv.lock
python ecosystem,
0 dependencies
unified-search-app/pyproject.toml
python ecosystem,
0 dependencies
unified-search-app/uv.lock
python ecosystem,
0 dependencies
packages/graphrag-cache/pyproject.toml
python ecosystem,
0 dependencies
packages/graphrag-chunking/pyproject.toml
python ecosystem,
0 dependencies
packages/graphrag-common/pyproject.toml
python ecosystem,
0 dependencies
packages/graphrag-input/pyproject.toml
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
Supercharge Your LLM Application Evaluations 🚀
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
https://microsoft.github.io/graphrag/
README403 Forbidden | https://api.github.com/repos/microsoft/graphrag/readme | message=API rate limit exceeded for user ID 260990068. If you reach out to GitHub Support for help, please include the request ID AD4C:3A7FC4:D842F56:CD1C035:6A56FB25 and timestamp 2026-07-15 03:14:45 UTC. For more on scraping GitHub and how it may affect your rights, please review our Terms of Service (htt | rate_limit_remaining=0 | rate_limit_reset=1784088007
