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Introducing Citai: the RAG engine I built across 6 articles — now free to try

Over the last 6 articles I shared how I built every piece of a production RAG engine: hybrid search, cross-encoder reranking, SSE streaming, multi-ten…

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Day 1: Your Team’s Chat Is a Wiki Waiting to Happen — A New Kind of RAG

Why we built Beever Atlas — and why “distill first, retrieve second” works where vanilla RAG falls apart. By Alan Yang Your team already documents eve…

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Plexus: A WiFi Graph RAG for Network Troubleshooting

WiFi troubleshooting has a confidence problem. Ask a chatbot what's causing client disconnections and it'll give you an answer that sounds right. But …

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5 Ways Azure AI Search is Revolutionizing Enterprise RAG Architectures

In the rapidly evolving landscape of Generative AI, the transition from experimental Proof of Concepts (POCs) to production-grade applications is the …

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FLAMEHAVEN FileSearch: Why This RAG Engine Feels Different from the Usual Stack

FLAMEHAVEN FileSearch: Why This RAG Engine Feels Different from the Usual Stack RAG is no longer an exotic idea. At this point, most developers have s…

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Why I built ragwise: pip-installable RAG with hybrid search, streaming, and agent tools by default

I spent a weekend integrating a RAG pipeline into a client project using LangChain. By Sunday evening I had 200 lines of boilerplate, a requirements.t…

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Browser-Based LLMs in Healthcare

The most persistent tension in healthcare AI isn't about model capability — it's about data. Sending a patient's protected health information (PHI) to…

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I built a production RAG pipeline. Here's what most tutorials skip.

I wanted a RAG system that was fast to run and fast to set up for clients. Upload a PDF, ask questions, get answers with citations. Pretty standard st…

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The “The Architecture Handbook for Milvus Vector Database” Book Review

A feedback and my thoughts on the “The Architecture Handbook for Milvus Vector Database” book. The image from the book cover produced by Packt Publica…

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EidolonDB – Self-managing memory for AI agents

I got tired of my agents making things up in long-horizon or multi-session workflows. So I built a memory layer that refuses to. EidolonDB gives agent…

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