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How To Reduce Token Usage in AI Apps: A Healthcare App Use Case
As an AI-powered application grows scales, repeated AI requests often significantly increase AI requests and slow down response time, affecting user experience. This is where caching comes in handy. Instead of performing the same expensive operation every…
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Why Your React App Feels Slow, and How to Fix It
React applications can be or feel slow for many reasons, from oversized JavaScript bundles to unnecessary re-renders. In this article, we explain how to identify the root causes of performance issues, as we do when conducting an…
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When Anthropic Prompt Caching Doesn’t Pay Off: Finding the Right Context Window
Extending the conversation history just to reach Anthropic’s minimum prompt caching threshold can cost more than keeping a shorter context window without caching. That’s what we found when optimizing a voice assistant whose responses rarely required more…
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Wiring an AI Image Analyzer API Into Your App
Adding an AI image analysis feature to an app can be surprisingly easy: send an image to an API, as for the information you need, and process the response. The harder part is to make it reliable…
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Evidence-First RAG: Validating LLM Citations in Application Code
This article explains how an evidence-first RAG design keeps citation validation in the application layer, ensuring that generated citations can be traced back to the evidence selected before generation. Key Takeaways This article is the final part…
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Vector-Only vs Hybrid Retrieval for Science and Technology Books
This article examines when vector-only retrieval is enough for science and technology books, and when useful evidence can be missed. RAGLibrarian adds complementary retrieval methods, fuses their ranked candidates with hybrid RRF, and benchmarks whether extra retrieval…
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How to Improve RAG Retrieval with Chapter-Aware Chunking in Go
The article explains how chapter-aware chunking can improve retrieval quality in RAG systems that use science and technology books as source material. In particular, it describes the implementation of RAGLibrarian – a custom Go-based page window chunker…
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MCP for Business: Building Adaptable AI Agents
This article explains how Model Context Protocol helps businesses build flexible AI agents by connecting them to company data, APIs, and workflows through a standardized interface. Key Takeaways: What is MCP and Why Does it Matter for…
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Application Modernization Strategies: How to Choose and Implement
With the focus on remaining competitive in today’s overcrowded digital markets, updating applications has become a key to everlasting business success. Transforming existing software with new technologies can not only improve the app’s functionality but also satisfy…
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