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.
Evaluating RAG Applications Beyond Vibes
Retrieval metrics, relevance judgment, and evaluation harnesses for measuring RAG quality.
Reducing LLM Hallucinations: Techniques That Help
Grounding, retrieval, temperature, and self-consistency — practical techniques to reduce hallucinations.
Building AI Knowledge-Base Assistants
Turn documentation and FAQs into a grounded Q&A assistant with retrieval and citations.
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