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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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I Built a Personalized AI Tutor Using RAG – Here's How It Actually Works (And the Code)

I Built a Personalized AI Tutor Using RAG – Here's How It Actually Works (And the Code)

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3 min read
Vector Dimensions, Cosine Similarity, Dot Product — and Why Your Distance Metric Silently Ruins Relevance

Vector Dimensions, Cosine Similarity, Dot Product — and Why Your Distance Metric Silently Ruins Relevance

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2 min read
Como Criar um Chatbot com RAG do Zero: Guia Prático com OpenAI e Qdrant

Como Criar um Chatbot com RAG do Zero: Guia Prático com OpenAI e Qdrant

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7 min read
How to Build a Text-to-SQL Agent With RAG, LLMs, and SQL Guards

How to Build a Text-to-SQL Agent With RAG, LLMs, and SQL Guards

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7 min read
Converting Text Documents into Enterprise Ready Knowledge Graphs

Converting Text Documents into Enterprise Ready Knowledge Graphs

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5 min read
Key Benefits of RAG as a Service for Enterprise AI Applications

Key Benefits of RAG as a Service for Enterprise AI Applications

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6 min read
I Built a PDF Chat App in Under an Hour Using RAG- Here's How You Can Too

I Built a PDF Chat App in Under an Hour Using RAG- Here's How You Can Too

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3 min read
🕸️ Stop Building "Dumb" RAG: Why Vectors Are Not Enough (The GraphRAG Shift)

🕸️ Stop Building "Dumb" RAG: Why Vectors Are Not Enough (The GraphRAG Shift)

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3 min read
Stop Tuning Embeddings: Package Your Knowledge for Retrieval

Stop Tuning Embeddings: Package Your Knowledge for Retrieval

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4 min read
Dense vs Sparse Vector Stores: Which One Should You Use — and When?

Dense vs Sparse Vector Stores: Which One Should You Use — and When?

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2 min read
The Future of Hyper-Local AI

The Future of Hyper-Local AI

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1 min read
Building Vroom AI: A Multi-Agent Architecture for Intelligent Driving Education

Building Vroom AI: A Multi-Agent Architecture for Intelligent Driving Education

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7 min read
Beyond Keyword Search: How LangChain's Self-Query Retriever Transforms Natural Language Into Smart Filters -Part-I

Beyond Keyword Search: How LangChain's Self-Query Retriever Transforms Natural Language Into Smart Filters -Part-I

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6 min read
10 Best Practices to Manage Unstructured Data for Enterprises

10 Best Practices to Manage Unstructured Data for Enterprises

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8 min read
Building a Local-First RAG Engine for AI Coding Assistants

Building a Local-First RAG Engine for AI Coding Assistants

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4 min read
Self-Hosting Cognee: LLM Performance Tests

Self-Hosting Cognee: LLM Performance Tests

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9 min read
Clone Your CTO: The Architecture of an 'AI Twin' (DSPy + Unsloth)

Clone Your CTO: The Architecture of an 'AI Twin' (DSPy + Unsloth)

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3 min read
Enterprise-Grade RAG Platform: Orchestrating Amazon Bedrock Agents via Red Hat OpenShift AI

Enterprise-Grade RAG Platform: Orchestrating Amazon Bedrock Agents via Red Hat OpenShift AI

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22 min read
🧠 Beyond Chatbots: Building 'Echo-Learn', an Agentic AI Tutor with Biological Memory

🧠 Beyond Chatbots: Building 'Echo-Learn', an Agentic AI Tutor with Biological Memory

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4 min read
One Year of Model Context Protocol: From Experiment to Industry Standard

One Year of Model Context Protocol: From Experiment to Industry Standard

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3 min read
TOON vs JSON en RAG (Java): el Grinch de los formatos cuando cada token cuenta 🎁

TOON vs JSON en RAG (Java): el Grinch de los formatos cuando cada token cuenta 🎁

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7 min read
Modern Search Techniques for Vector Databases (w/LangChain)

Modern Search Techniques for Vector Databases (w/LangChain)

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4 min read
The Research: MiniMax M2.1 (The "Linear" Revolution)

The Research: MiniMax M2.1 (The "Linear" Revolution)

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3 min read
Deploying Scalable LLM Tools via Remote MCP on Kubernetes

Deploying Scalable LLM Tools via Remote MCP on Kubernetes

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10 min read
Build a Knowledge-Based Q&A Bot using Bedrock + S3 + DynamoDB/OpenSearch via AWS CDK

Build a Knowledge-Based Q&A Bot using Bedrock + S3 + DynamoDB/OpenSearch via AWS CDK

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25 min read
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