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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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The Budget Mistake Most Companies Make in Their Second Year of AI

The Budget Mistake Most Companies Make in Their Second Year of AI

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2 min read
Your chatbot is a second door onto your content

Your chatbot is a second door onto your content

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4 min read
Context Harness: a Local-First RAG Engine in Rust with Lua Extensions and an MCP Server

Context Harness: a Local-First RAG Engine in Rust with Lua Extensions and an MCP Server

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5 min read
Training LLMs in the kernel — how IONA AI does embedding, RAG, and fine‑tuning without the cloud

Training LLMs in the kernel — how IONA AI does embedding, RAG, and fine‑tuning without the cloud

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4 min read
Qdrant in Production: 10 Gotchas the Quickstart Won't Tell You

Qdrant in Production: 10 Gotchas the Quickstart Won't Tell You

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5 min read
Write returned success. The file was never there.

Write returned success. The file was never there.

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2 min read
Building a RAG-Based PDF Question Answering System: Engineering Decisions, Failures, and Lessons

Building a RAG-Based PDF Question Answering System: Engineering Decisions, Failures, and Lessons

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5 min read
Rocket Ralph: Support That Answers While You Sleep

Rocket Ralph: Support That Answers While You Sleep

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6 min read
How I Built a Compounding Markdown Wiki for Research: When Standard RAG Stops Being Enough

How I Built a Compounding Markdown Wiki for Research: When Standard RAG Stops Being Enough

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15 min read
I Published a New Protocol for AI Context Efficiency: ZRCP

I Published a New Protocol for AI Context Efficiency: ZRCP

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1 min read
Building RepoMind: How I Used MCP, RAG, and Repository Intelligence to Give Claude Access to Entire Codebases

Building RepoMind: How I Used MCP, RAG, and Repository Intelligence to Give Claude Access to Entire Codebases

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5 min read
I built a free tool so LLMs stop wasting tokens when they pull web pages

I built a free tool so LLMs stop wasting tokens when they pull web pages

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1 min read
KoutenDB: Data Locality as a First-Stage Retrieval Index

KoutenDB: Data Locality as a First-Stage Retrieval Index

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6 min read
Mitigating Hallucinations in Theology AI: Implementing Groundedness Evaluation Pipelines

Mitigating Hallucinations in Theology AI: Implementing Groundedness Evaluation Pipelines

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7 min read
I Built a Local RAG Assistant with Ollama, ChromaDB and LangChain. Here's What I Learned

Strict offline constraints drive practical lessons

I Built a Local RAG Assistant with Ollama, ChromaDB and LangChain. Here's What I Learned

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7 min read
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