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#rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

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Gaming Knowledge-Base PDF RAG: Node.js Embeddings, Rerank, and Focused Summaries

Gaming Knowledge-Base PDF RAG: Node.js Embeddings, Rerank, and Focused Summaries

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8 min read
Building Guardrails for Enterprise LLMs That Actually Work

Building Guardrails for Enterprise LLMs That Actually Work

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6 min read
Building a RAG System From Scratch — Four Components, One Working Pipeline

Building a RAG System From Scratch — Four Components, One Working Pipeline

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5 min read
Your AI Gives Confident Wrong Answers Because Your Docs Are a Mess — Not Because the Model Is Bad

Your AI Gives Confident Wrong Answers Because Your Docs Are a Mess — Not Because the Model Is Bad

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6 min read
Building Meeting Audio RAG on Microsoft Foundry with Fast Transcription and Foundry IQ

Building Meeting Audio RAG on Microsoft Foundry with Fast Transcription and Foundry IQ

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16 min read
How We Built Progga (progga.bd): A RAG-Based AI Tutor That Actually Understands the Bangladeshi Curriculum

How We Built Progga (progga.bd): A RAG-Based AI Tutor That Actually Understands the Bangladeshi Curriculum

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5 min read
Anatomy of a Full RAG Application: Every Concept, One Self-Hosted Stack

Anatomy of a Full RAG Application: Every Concept, One Self-Hosted Stack

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5 min read
Building an AI-native Second Brain with Multi-RAG, Knowledge Graphs, and MCP

Building an AI-native Second Brain with Multi-RAG, Knowledge Graphs, and MCP

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5 min read
What I learned building a compliance answer engine that refuses to make things up

What I learned building a compliance answer engine that refuses to make things up

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3 min read
Corrective RAG for billing: the bug is not retrieval, it's the model narrating correct numbers wrong

Corrective RAG for billing: the bug is not retrieval, it's the model narrating correct numbers wrong

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8 min read
Stop Making Your AI Agent Smarter. Make Its Context Smaller.

Stop Making Your AI Agent Smarter. Make Its Context Smaller.

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3 min read
I gave Claude Desktop a tax-free MCP memory layer

I gave Claude Desktop a tax-free MCP memory layer

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5 min read
Building an LLM Gateway Proxy with Security Guardrails and Observability

Building an LLM Gateway Proxy with Security Guardrails and Observability

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5 min read
How I Cut 30% LLM Costs: RAG Context Pruning Cost Reduction

How I Cut 30% LLM Costs: RAG Context Pruning Cost Reduction

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10 min read
The memory layer that never calls an LLM: what that buys, and what it costs

Raw turns beat LLM cost via auditability

The memory layer that never calls an LLM: what that buys, and what it costs

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10 min read
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