From RSS to Insight: Building a Production‑Ready RAG System with the Stripe Blog Feed
When my data‑science team needed instant answers about Stripe’s latest product moves, we hit a wall: pulling the entire blog dump every time we ans…
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Beyond the First Try: Engineering Self‑Correcting Prompts for Robust Data Extraction
When I first tried to pull structured fields out of the Stripe Blog RSS feed, the LLM would happily spit out malformed JSON, drop a title, or hallu…
How I Cut LLM Inference Costs in Half with Batching, Caching, and Quantization
Ever watched your LLM‑powered summarizer churn out a dozen Cloudflare blog posts and saw the API bill climb faster than the headlines? I was ther…
Seeing Code: Building a Multimodal GitHub Repo Summarizer with Vision + LLMs
Have you ever built an AI-powered developer tool that reads every line of a repository's README, parses its commit history, and still completel…
Beyond Guesswork: Engineering Rigorous RAG Evaluation Pipelines with Ragas and Live GitHub Data
Building reliable production RAG systems requires shifting from subjective evaluation to automated, deterministic evaluation harnesses using Ragas,…