Repository profile
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
Repository updates
Get generated apecloud/ApeRAG 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 2026-07-16 03:07
7 captures since 2026-05-22
Stars from baseline +108
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:07
pyproject.toml
python ecosystem,
96 dependencies
uv.lock
python ecosystem,
0 dependencies
web/package.json
javascript ecosystem,
112 dependencies
web/yarn.lock
javascript ecosystem,
0 dependencies
.github/utils/requirements.txt
python ecosystem,
1 dependency
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.
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A modular graph-based Retrieval-Augmented Generation (RAG) system
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
