We publish a technical blog series called "Super RAG" on our website.

This series delves into the latest trends and practical know-how of "RAG (Search Augmentation)" technology, which is essential for searching and utilizing internal knowledge using generative AI and AI agents. From explanations of the latest AI algorithms useful in practical work to points on implementation and operation, we deliver the insights of our engineers and researchers in an easy-to-understand format.

We have published our latest article (the 8th in the series) today, so please take a look.

📌 Introducing our latest article

[Episode 8] Super RAG API Use Case: Transforming Documents into FAQs — Answering the question, "Who will create those FAQs?"

We've published the eighth article in a series addressing the common problem of "We know creating FAQs would make things easier, but we don't have the time!" This article explains the latest approach to automatically generate and centrally manage FAQs from existing internal documents, thereby reducing the cost of handling internal inquiries.

Click here for the "Super RAG" series of articles.

By reading the articles we've published so far, you can gain a deeper understanding of RAG.

• [Part 1] Achieving a Quality Beyond Standard RAG — Technical Innovations Supporting Super RAG
  
• [Part 2] A Thorough Explanation of Three Embedded Patterns — Analyzing API Call Flows and Dify Expense Review
  
• [Part 3] API Function Catalog — What can be done, and what should be handled in-house?
  
• [Part 4] The Contents of Document Extraction — How is the Engine Selected?
  
• [Part 5] Hybrid Search and Reranking — Making the Most of Extracted Content by Balancing "Meaning" and "Words"
  
• [Part 6] Super RAG Answer Strategy — Design Decisions for Mastering Single-hop Answers and 3 Techniques to Support Answer Quality
  
• [Episode 7] Super RAG API Use Case: "Document vs. Document" Search — Searching past accidents and near misses from work plans to predict hazards (Scheduled for release in August 2026)

We will continue to regularly deliver practical AI information that will be useful in business and development settings. Please bookmark this page and use it for your daily information gathering!