ApeRAG
Production-ready Graph RAG with advanced AI agents
What it does
ApeRAG is a production-ready RAG platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Open source version of Tencent IMA.
Does a similar job
all alternatives →- FBFastGraphRAG – Better RAG using good old PageRank2024 · github.com · ▲457
Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…
IgnitionRAGApr 2026 · ignitionrag.com · ▲83Multimodal RAG platform, from POC to production in minutes
- SOSpRAG – Open-source RAG implementation for challenging real-world tasks2024 · github.com · ▲69
Hey HN, I’m Zach from Superpowered AI (YC S22). We’ve been working in the RAG space for a little over a year now, and we’ve recently decided to open-source all of our core retrieval tech. spRAG is a retrieval system that’s designed to handle complex real-world queries over dense text, like legal documents and financial reports. As far as we know, it produces the most accurate and reliable results of any RAG system for these kinds of tasks. For example, on FinanceBench, which is an especially challenging open-book financial question answering benchmark, spRAG gets 83% of questions correct,…
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