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Tagged: rag
A six-month roadmap from beginner to working AI engineer
Follow a month-by-month plan covering Python, LLM APIs, RAG, agents, evaluation, deployment and cost, with four portfolio projects that show you can ship AI systems.
10 min readFifty Years of Retrieval Research Hiding Inside Your RAG Pipeline
RAG chunking, hybrid search, HyDE, reranking and evals all have decades-old ancestors in information retrieval. A tour of the research and where it falls short.
17 min readAn AI Engineering Roadmap for 2026: From Python to Agents and LLMOps
A phased 2026 learning path for AI engineering, from Python and math through classical ML and deep learning to RAG, MCP, agents, evals and deployment.
14 min readIndex-Time RAG Quality: Chunk Types, Cleanup and Retrieval Labels
Index-time RAG quality: build text, table and image chunks, scrub parser noise, and add LLM-written retrieval labels that roughly halved failed lookups.
12 min readThree Ways Production RAG Fails: Fragmented Context, Drift and Misuse
Three ways production RAG fails: fragmented context from chunking, drift as the knowledge base grows, and misuse despite good retrieval, with layer-level fixes.
11 min readSpring AI in the Enterprise: A Support Agent with Tools, RAG and Review
Spring AI for an incident-triage assistant: prompts as contracts, structured output, tool calling, MCP discovery, Qdrant RAG, tracing and bounded agent loops.
13 min readReranking in RAG: Cross-Encoders vs LLM Judges and Their Latency
How a second-stage reranker fixes candidate ordering in RAG, comparing cross-encoders with LLM judges, latency costs, failure modes and how to evaluate them.
14 min readAuditing RAG Retrieval for Stale Chunks, Drift and Noisy Context
A Python audit for RAG retrieval: golden queries, cosine relevance gates, Kolmogorov-Smirnov drift checks and context efficiency, plus how to read the report.
12 min readGraphify, OKF and RAG: Which Context Layer Does Your Codebase Need
Benchmarks show Graphify ties vector RAG on accuracy. Here is how Graphify, Google's OKF and vector RAG fit together, with failure triggers and a decision matrix.
12 min read
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