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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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RAG - Semantic Caching

RAG - Semantic Caching

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3 min read
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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6 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
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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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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4 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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4 min read
Building a RAG System from Scratch — AI Agents: Memory, Planning, and Multi-Step Reasoning

Building a RAG System from Scratch — AI Agents: Memory, Planning, and Multi-Step Reasoning

Comments 1
7 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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Comments 2
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
Part 5 — Installing a Black Box Recorder in Your RAG System: 4-Layer Metadata + 3-Level Verification, Root Cause in 5 Minutes

Part 5 — Installing a Black Box Recorder in Your RAG System: 4-Layer Metadata + 3-Level Verification, Root Cause in 5 Minutes

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Comments
9 min read
Part 3 — Vector Retrieval in Domain-Specific Terminology Scenarios: From Model Selection to Dual Validation

Part 3 — Vector Retrieval in Domain-Specific Terminology Scenarios: From Model Selection to Dual Validation

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10 min read
Part 2 — Why Does One System Need Three Chunking Strategies? And One Document Type Shouldn't Be Chunked At All

Part 2 — Why Does One System Need Three Chunking Strategies? And One Document Type Shouldn't Be Chunked At All

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Comments
9 min read
Part 1 — How Do Unstructured Documents Become a Searchable Knowledge Base? Five Key Engineering Decisions in the Ingestion Pipeline

Part 1 — How Do Unstructured Documents Become a Searchable Knowledge Base? Five Key Engineering Decisions in the Ingestion Pipeline

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9 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
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