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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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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

BERJAYA 1
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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

BERJAYA 1
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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
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
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
Retrieval-Augmented Generation (RAG): Stop Your AI from Hallucinating

Retrieval-Augmented Generation (RAG): Stop Your AI from Hallucinating

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3 min read
Candidate Compliance Agent: Building a Multilingual RAG System for Tamil Nadu Election Affidavits

Candidate Compliance Agent: Building a Multilingual RAG System for Tamil Nadu Election Affidavits

BERJAYA 1
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4 min read
AI Agents Address Hallucinations; New Tools for Code Gen & Enterprise Auth

AI Agents Address Hallucinations; New Tools for Code Gen & Enterprise Auth

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3 min read
Context Compression: Fitting More Useful Information Into Your LLM's Context Window

Context Compression: Fitting More Useful Information Into Your LLM's Context Window

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5 min read
Reranking in Enterprise RAG: Why It Matters More Than Your Embedding Model Choice

Reranking in Enterprise RAG: Why It Matters More Than Your Embedding Model Choice

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6 min read
Local-First RAG Pipeline in Pure Python

Local-First RAG Pipeline in Pure Python

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3 min read
AI Agents: Memory Layers, Test Automation, and Workflow Orchestration

AI Agents: Memory Layers, Test Automation, and Workflow Orchestration

BERJAYA 1
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3 min read
A Real RAG Pipeline on AWS: Internal Docs Q&A with Terraform (Model-Agnostic) 🔍

A Real RAG Pipeline on AWS: Internal Docs Q&A with Terraform (Model-Agnostic) 🔍

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5 min read
A Real RAG Pipeline on Azure: Internal Docs Q&A with Terraform (Model-Agnostic) 🔍

A Real RAG Pipeline on Azure: Internal Docs Q&A with Terraform (Model-Agnostic) 🔍

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6 min read
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