Ashley Nicole Santos, Author at Tutorials Dojo

About Ashley Nicole Santos

A Computer Science student and a developer with a strong interest in cloud computing and AI. She currently serves as the Country Lead for Agora Philippines and is also an Agora Ambassador, where she helps build and engage the local developer community. She is an AWS Certified AI and Cloud Practitioner and an IT Intern at Tutorials Dojo, gaining hands-on experience in cloud technologies and real-world applications.

How I Built My First RAG API with FastAPI, Free & Local

Ashley Nicole Santos2026-02-02T20:03:16+00:00

I've always been curious about how AI-powered tools actually work behind the scenes. How does ChatGPT know when to search the web? How do enterprise chatbots answer questions about company documents they've never "seen" before? The answer is RAG, and building one myslef turned out to be more accessible than I expected. This article documents my experience and a hands-on tutorial that walks you through creating your very first AI API. I'm sharing the context that they don't they teach you, the "why" behind each tool, and adjustments What makes this guide different: Beginner-friendly explanations of every buzzword and tool [...]

How I Built My First RAG API with FastAPI, Free & LocalAshley Nicole Santos2026-02-02T20:03:16+00:00

Amazon Bedrock + Promptfoo: Rethinking LLM Evaluation Methods
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Amazon Bedrock + Promptfoo: Rethinking LLM Evaluation Methods

Ashley Nicole Santos2026-02-02T19:55:22+00:00

I discovered something embarrasing about my LLM development workflow last month. After spending hours crafting what I thought was the perfect prompt for a customer service chatbot on Amazon Bedrock, I deployed it and called it done. My validation process? I asked it five questions, nodded approvingly at the responses, and moved on. Sound familiar? This "vibe-based prompting" approach worked fine until the chatbot confidently told a user that our fictional company offers "24/7 phone support," a feature that never existed. The model hallucinated, and I had no automated way to catch it. That experience sent me down a rabbit [...]

Amazon Bedrock + Promptfoo: Rethinking LLM Evaluation MethodsAshley Nicole Santos2026-02-02T19:55:22+00:00

How Content Chunking Works in Amazon Bedrock Knowledge Bases: How AI Really Reads Your Documents
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How Content Chunking Works in Amazon Bedrock Knowledge Bases: How AI Really Reads Your Documents

Ashley Nicole Santos2026-02-02T20:15:27+00:00

Modern generative AI systems often appear to “read” entire documents instantly, returning precide answers form long PDFs or dense technical manuals. In reality, large language models do not consume documents holistically. Instead, they rely on carefully prepared context that is retrieved and supplied at query time. One of the most critical and often misunderstood mechanisms behind this process is content chunking. At its core, content chunking determines how raw documents such as PDFs, webpages, or text files are transformed into smaller, meaningful units that can be indexed, embedded, and retrieved efficiently. Understanding how chunking works and how to configure it [...]

How Content Chunking Works in Amazon Bedrock Knowledge Bases: How AI Really Reads Your DocumentsAshley Nicole Santos2026-02-02T20:15:27+00:00

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