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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 private Copilot alternative that never lets your data leave your Microsoft 365 tenant

I built a private Copilot alternative that never lets your data leave your Microsoft 365 tenant

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2 min read
Your Context Window Is Not a Knowledge Base

Your Context Window Is Not a Knowledge Base

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4 min read
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
Building a RAG Document Q&A System with Hybrid Retrieval (No Embeddings API Needed)

Building a RAG Document Q&A System with Hybrid Retrieval (No Embeddings API Needed)

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6 min read
How to Evaluate Your RAG Pipeline

How to Evaluate Your RAG Pipeline

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7 min read
RAG SOTA: I Tested 7 Pipelines and Built SEQUOIA (Open Source)

RAG SOTA: I Tested 7 Pipelines and Built SEQUOIA (Open Source)

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3 min read
RAG vs Fine-Tuning

RAG vs Fine-Tuning

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7 min read
Open Source LLM Spring 2026: What Changed in 2 Months

Open Source LLM Spring 2026: What Changed in 2 Months

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2 min read
I Got Tired of Debugging Haystack RAG Pipelines Blind, So I Built a Diagnostics Engine

I Got Tired of Debugging Haystack RAG Pipelines Blind, So I Built a Diagnostics Engine

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3 min read
How to Enforce Role-Based Data Access in AI Applications with Oracle Deep Data Security

How to Enforce Role-Based Data Access in AI Applications with Oracle Deep Data Security

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34 min read
Your RAG Agent Is Retrieving the Wrong Chunk: 5 Failure Modes We Fix in Production

Your RAG Agent Is Retrieving the Wrong Chunk: 5 Failure Modes We Fix in Production

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4 min read
WearEdge Pro: An OPEA Manufacturing Five-Agent Suite for Frontline Operators

WearEdge Pro: An OPEA Manufacturing Five-Agent Suite for Frontline Operators

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2 min read
SerpBase + LangChain: a 30-line DocumentLoader that calls Google

SerpBase + LangChain: a 30-line DocumentLoader that calls Google

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3 min read
What Happens Inside an LLM During Inference: Tokens, KV Cache, and GPU Execution Explained

What Happens Inside an LLM During Inference: Tokens, KV Cache, and GPU Execution Explained

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12 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
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