LightRAG VS Agentset

Let’s have a side-by-side comparison of LightRAG vs Agentset to find out which one is better. This software comparison between LightRAG and Agentset is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether LightRAG or Agentset fits your business.

LightRAG

LightRAG
LightRAG is an advanced RAG system. With a graph structure for text indexing and retrieval, it outperforms existing methods in accuracy and efficiency. Offers complete answers for complex info needs.

Agentset

Agentset
Agentset is an open-source RAG platform that handles the entire RAG pipeline (parsing, chunking, embedding, retrieval, generation). Optimized for developer efficiency and speed of implementation.

LightRAG

Launched
Pricing Model Free
Starting Price
Tech used
Tag Knowledge Base

Agentset

Launched 2025-02
Pricing Model Freemium
Starting Price $49 Month
Tech used Google Analytics,Next.js,Vercel,Gzip,OpenGraph,RSS,Webpack,HSTS
Tag Data Pipelines,Developer Tools,Data Science

LightRAG Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Agentset Rank/Visit

Global Rank 4540417
Country Norway
Month Visit 4247

Top 5 Countries

72.58%
27.42%
Norway Germany

Traffic Sources

3.73%
0.98%
0.29%
10.47%
49.89%
33.59%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing LightRAG and Agentset, you can also consider the following products

RAGFlow - RAGFlow: The RAG engine for production AI. Build accurate, reliable LLM apps with deep document understanding, grounded citations & reduced hallucinations.

OpenRAG - OpenRag is a lightweight, modular and extensible Retrieval-Augmented Generation (RAG) framework designed to explore and test advanced RAG techniques — 100% open source and focused on experimentation, not lock-in.

R2R - SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

HelloRAG.ai - HelloRAG is a no-code, easy-to-use and scalable solution to ingest human and machine generated multi-modal data for LLM-powered applications

RAG-FiT - Boost your LLMs with RAG-FiT: a modular framework for Retrieval-Augmented Generation optimization. Fine-tune, evaluate, and deploy smarter models effortlessly. Explore RAG-FiT now!

More Alternatives