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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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Retrieval-Augmented Self-Recall — What the Comments Taught Me (RE-call v0.3)

Retrieval-Augmented Self-Recall — What the Comments Taught Me (RE-call v0.3)

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Comments
6 min read
Retrieval-Augmented Self-Recall — Part 5: The Gap Threshold That Didn't Transfer

Retrieval-Augmented Self-Recall — Part 5: The Gap Threshold That Didn't Transfer

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Comments
4 min read
Retrieval-Augmented Self-Recall — Part 3: Teaching RAG to Say \"I Don't Know\

Retrieval-Augmented Self-Recall — Part 3: Teaching RAG to Say \"I Don't Know\

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Comments
5 min read
Retrieval-Augmented Self-Recall — Part 4: Benchmarking Retrieval *and* Honesty

Retrieval-Augmented Self-Recall — Part 4: Benchmarking Retrieval *and* Honesty

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Comments
4 min read
Retrieval-Augmented Self-Recall — Part 6: The Fine-Tune That Did Nothing, and Shipping It as an MCP Server

Retrieval-Augmented Self-Recall — Part 6: The Fine-Tune That Did Nothing, and Shipping It as an MCP Server

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4 min read
Your RAG System Is Lying To You About That Table

Your RAG System Is Lying To You About That Table

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4 min read
A Chinese 8B model beat the Western 8B models at Japanese RAG. I still wouldn't put it in the default deployment — and that distinction is the point.

A Chinese 8B model beat the Western 8B models at Japanese RAG. I still wouldn't put it in the default deployment — and that distinction is the point.

Comments
4 min read
RAG should never be your default

RAG should never be your default

Comments
3 min read
Building a Grounded RAG Assistant: Why Citation Enforcement Matters More Than Retrieval

Building a Grounded RAG Assistant: Why Citation Enforcement Matters More Than Retrieval

Comments 2
1 min read
KoutenDB: Data Locality as a First-Stage Retrieval Index

KoutenDB: Data Locality as a First-Stage Retrieval Index

Comments
6 min read
The Source-of-Truth Problem Every Enterprise AI Team Faces

The Source-of-Truth Problem Every Enterprise AI Team Faces

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3 min read
RAG is for finding. Full context is for deciding.

RAG is for finding. Full context is for deciding.

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4 min read
Why my first RAG layer starts in Postgres, not in a standalone vector database

Why my first RAG layer starts in Postgres, not in a standalone vector database

Comments
3 min read
Beyond Chatbots: Wrapping My RAG Agent in an MCP Server

Beyond Chatbots: Wrapping My RAG Agent in an MCP Server

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2 min read
Moonshot AI's Kimi K3 Is Here: A 2.8 Trillion Parameter Open MoE Model That Pushes Long-Context AI Forward

Moonshot AI's Kimi K3 Is Here: A 2.8 Trillion Parameter Open MoE Model That Pushes Long-Context AI Forward

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Comments
3 min read
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