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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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Part 4 — High Semantic Similarity Correct Business Conclusion: A Three-Layer Judgment Engine from Retrieval to Quantifiable Decisions

Part 4 — High Semantic Similarity Correct Business Conclusion: A Three-Layer Judgment Engine from Retrieval to Quantifiable Decisions

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10 min read
What is Agent Memory and why does it matter?

What is Agent Memory and why does it matter?

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7 min read
Why your local LLM knowledge base gives bad answers (and how to fix it)

Why your local LLM knowledge base gives bad answers (and how to fix it)

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4 min read
My Bookmark Engine Returned Chunks. I Added One Endpoint to Make It Answer.

My Bookmark Engine Returned Chunks. I Added One Endpoint to Make It Answer.

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3 min read
Self-hosted second brain with MCP

Self-hosted second brain with MCP

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2 min read
When RAG Gives Wrong Answers: A Debugging Walkthrough

When RAG Gives Wrong Answers: A Debugging Walkthrough

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3 min read
Building voice + AI agents from a backend background and how AI got me there

Building voice + AI agents from a backend background and how AI got me there

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2 min read
CRMs store data. I built something that remembers context.

CRMs store data. I built something that remembers context.

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6 min read
The knowledge-authority layer: what your agents can't get from the outside

The knowledge-authority layer: what your agents can't get from the outside

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3 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
Second Brain Explained for Engineers and Knowledge Workers

Second Brain Explained for Engineers and Knowledge Workers

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9 min read
Day 9 - Sparse embedding continued - RAG

Day 9 - Sparse embedding continued - RAG

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2 min read
Two Retrieval Methods Are Better Than One: Evidence from 500 Clinical Queries

Two Retrieval Methods Are Better Than One: Evidence from 500 Clinical Queries

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2 min read
CDD Paper: Context-Driven Decomposition for RAG Knowledge Conflict

CDD Paper: Context-Driven Decomposition for RAG Knowledge Conflict

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9 min read
How I Built a Fully Local AI F1 Pit-Wall Using LLaMA 3, RAG, and Real-Time Telemetry

How I Built a Fully Local AI F1 Pit-Wall Using LLaMA 3, RAG, and Real-Time Telemetry

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3 min read
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