A developer's production checklist for LLMOps in RAG systems identifies weak retrieval, lack of reranking, poor prompt/version control, insufficient eval coverage, and blunt cost controls as common ro…
A developer overhauled their hybrid retrieval pipeline for technical documentation, combining Qwen embeddings, BM25 sparse vectors, and reciprocal rank fusion with a FastEmbed reranker. The upgrade im…
A developer built a hybrid RAG API that combines dense and sparse retrieval with reciprocal rank fusion (RRF) to answer questions from PDFs. The system uses Qdrant for vector storage, a cross-encoder …
A developer discovered that non-deterministic retrieval ordering in a RAG pipeline caused fluctuating Recall@8 scores, even with identical queries and models. The fix was adding a deterministic tie-br…
Mariana Souza describes a three-index Elasticsearch architecture for persistent LLM agent memory that achieves 0.89 recall without tenant leaks. The system separates episodic, semantic, and procedural…