Practical AI architectures, RAG patterns, vector embeddings, and local model deployment.
6 articles
Choosing between parametric weight updates and external knowledge retrieval in enterprise AI architectures.
How modern KV cache reuse reduces latency and cost for document analysis and multi-turn conversations.
Designing deterministic AI workflows with JSON schema function calling, error recovery, and safety guardrails.
Running Llama 3, Mistral, and Qwen models locally with GPU acceleration, concurrency tuning, and systemd management.
Merging semantic embeddings with lexical BM25/tsvector queries using Reciprocal Rank Fusion (RRF).
How to build production Retrieval-Augmented Generation pipelines that eliminate hallucinations and boost retrieval precision.
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