RAG AutoML tool for automatically finds an optimal RAG pipeline for your data.
There are many RAG pipelines and modules out there, but you don’t know what pipeline is great for “your own data” and "your own use-case." Making and evaluating all RAG modules is very time-consuming and hard to do. But without it, you will never know which RAG pipeline is the best for your own use-case.
AutoRAG is a tool for finding optimal RAG pipeline for “your data.” You can evaluate various RAG modules automatically with your own evaluation data, and find the best RAG pipeline for your own use-case.
AutoRAG supports a simple way to evaluate many RAG module combinations. Try now and find the best RAG pipeline for your own use-case.
Company Details
- Industry
- Information Services
- NAICS
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Other Information ServicesNews SyndicatesAll Other Information Services
Autorag Questions
Autorag's website is https://github.com/Marker-Inc-Korea/AutoRAG
Autorag's LinkedIn profile is https://www.linkedin.com/company/autorag
Autorag's industry is
Information Services
Autorag's top competitors are
Squeezebits,
Lilysai,
Kaist Ai,
Ajin System,
Crewai,
Dify,
Letta,
Baryon Labs,
세무특공대,
Sk Telecom.
Autorag's categories are Information Services
