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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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Hybrid Search in RAG: Why Neither Keyword Search Nor Semantic Search Alone Is Good Enough

Hybrid Search in RAG: Why Neither Keyword Search Nor Semantic Search Alone Is Good Enough

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13 min read
Architecting for Speed and Precision: My Blueprint for a Production-Ready RAG System

Architecting for Speed and Precision: My Blueprint for a Production-Ready RAG System

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4 min read
7 Production RAG Mistakes I Made (And How to Fix Them)

7 Production RAG Mistakes I Made (And How to Fix Them)

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5 min read
Why RAG Pipelines Silently Hallucinate — And The Decay Score That Catches It Before The LLM Does

Why RAG Pipelines Silently Hallucinate — And The Decay Score That Catches It Before The LLM Does

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2 min read
Why Do We Need GraphRAG? — The Evolution from "Search" to "Understanding"

Why Do We Need GraphRAG? — The Evolution from "Search" to "Understanding"

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5 min read
How to Build a RAG Chatbot with Python

How to Build a RAG Chatbot with Python

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3 min read
Exploring Edge-Native AI: Running RAG Fully Offline on Android

Exploring Edge-Native AI: Running RAG Fully Offline on Android

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1 min read
Mastering Modern Hiring Demonstration: Using Docling and PostgreSQL by Bob to Build a Local Candidate RAG Database

Mastering Modern Hiring Demonstration: Using Docling and PostgreSQL by Bob to Build a Local Candidate RAG Database

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11 min read
Long-Context Models Killed RAG. Except for the 6 Cases Where They Made It Worse.

Long-Context Models Killed RAG. Except for the 6 Cases Where They Made It Worse.

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8 min read
RAG Pipeline Stress Tester: Battle-Test Your RAG System Before It Reaches Production

RAG Pipeline Stress Tester: Battle-Test Your RAG System Before It Reaches Production

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7 min read
Streamlit Workflow & Enterprise AI Deployment: Compliance & Production NLP

Streamlit Workflow & Enterprise AI Deployment: Compliance & Production NLP

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4 min read
Two Weeks of My News Aggregator: RAG Chat and a Sentiment Dial

Two Weeks of My News Aggregator: RAG Chat and a Sentiment Dial

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9 min read
Prompt engineering vs RAG vs Finetuning

Prompt engineering vs RAG vs Finetuning

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1 min read
We Replaced Our RAG Pipeline With Persistent KV Cache. Here's What We Found.

We Replaced Our RAG Pipeline With Persistent KV Cache. Here's What We Found.

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3 min read
Turning Obsidian into AI's Own Memory — Local Cognitive OS with Hindsight and Hermes

Turning Obsidian into AI's Own Memory — Local Cognitive OS with Hindsight and Hermes

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5 min read
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