Blog & Insights
Engineering insights, best practices, and technology guides from the SIMA DigiTech team.
RAG Architecture: From Document Ingestion to Retrieval
A complete walkthrough of retrieval-augmented generation: chunking, embeddings, retrieval, and evaluation.
Document Chunking Strategies for RAG
Fixed-size, semantic, and hierarchical chunking — how chunking quality drives RAG answer accuracy.
How Vector Search Works in AI Applications
Embeddings, similarity metrics, and approximate nearest neighbor search explained step by step.
Integrating LLMs into Existing Business Applications
Prompt design, function calling, guardrails, and cost control for production LLM integrations.
Evaluating RAG Applications Beyond Vibes
Retrieval metrics, relevance judgment, and evaluation harnesses for measuring RAG quality.
Human-in-the-Loop AI Workflows
Design AI workflows that keep humans in control where it matters and automate where it doesn't.
AI Model Evaluation Basics for Teams
Establish benchmarks, test sets, and metrics so your AI systems can be measured and improved.
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