Intellisys launches ‘RAG Builder’, a no-code-based RAG construction solution

Intellisys announced that it has launched ‘Rag Builder’, a solution that can automatically build Retrieval Augmented Generation (RAG), which is essential for service development using LLM, on a no-code basis. RAG is a process that allows LLM to reference not only pre-trained data before generating answers, but also reliable key information within the company, which can alleviate AI hallucinations and increase answer transparency without going through a learning process that requires enormous resources. there is.

However, RAG requires a lot of effort and time to implement. Lee Sang-gu, CEO of Intellisys, said, “Currently, RAG construction is becoming a bottleneck in LLM service development as it takes several months for people to set their own strategies at each stage of the RAG pipeline and find optimized technology strategies through a process of trial and error.” pointed out.

Intellisys’ Rag Builder uses AI to analyze a company’s knowledge resources to derive expected questions from users, and defines and executes the most optimal RAG pipeline for the expected questions, significantly reducing construction time and improving performance compared to existing methods. It is characterized by height. By automating the optimization process of the entire RAG pipeline with AI, RAG can be built without human intervention.

CEO Lee Sang-gu said, “The paradigm of the generative AI market is shifting from foundation model-centered to innovative service development,” and “Intellisys is providing innovative LLM services based on high performance, starting with Leg Builder, which is the first in the world to automate RAG construction. “We will establish ourselves as a builder,” he said.
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