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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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You can't debug a RAG you didn't instrument

You can't debug a RAG you didn't instrument

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3 min read
Stale RAG vs. expensive RAG: how to cache RAG context without serving outdated answers

Stale RAG vs. expensive RAG: how to cache RAG context without serving outdated answers

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7 min read
I Gave an AI Full Access to My Startup and Asked It to Destroy Me

I Gave an AI Full Access to My Startup and Asked It to Destroy Me

10 min read
Making RAG admit when it's guessing: source-grounded hallucination checks

Making RAG admit when it's guessing: source-grounded hallucination checks

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1 min read
The bug that took me four hours to find had nothing to do with the model

The bug that took me four hours to find had nothing to do with the model

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1
2 min read
Reviewed: 5 AI Search Tools After 60 Days of Real Use

Reviewed: 5 AI Search Tools After 60 Days of Real Use

3 min read
Looking for 10 teams to test a managed knowledge API for free

Looking for 10 teams to test a managed knowledge API for free

2 min read
Don't Let Your LLM Wing It: Building a Knowledge Base That Actually Knows Things

Don't Let Your LLM Wing It: Building a Knowledge Base That Actually Knows Things

6 min read
From RAG to Skill Function: A New Architecture for Enterprise AI Knowledge

From RAG to Skill Function: A New Architecture for Enterprise AI Knowledge

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4 min read
Stop Chunking Documents: The Open Knowledge Format (OKF) for Enterprise AI

Stop Chunking Documents: The Open Knowledge Format (OKF) for Enterprise AI

4 min read
Building an Agentic AI Customer Support Platform with LangGraph, RAG, and Gemini

Building an Agentic AI Customer Support Platform with LangGraph, RAG, and Gemini

2 min read
Why Your RAG System Needs Hybrid Search (And How to Actually Implement It)

Why Your RAG System Needs Hybrid Search (And How to Actually Implement It)

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3 min read
Structured Output in LangChain

Structured Output in LangChain

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5 min read
Five Bugs Deep in an AI Memory Layer: My Week with Cognee

Five Bugs Deep in an AI Memory Layer: My Week with Cognee

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4 min read
Deploy AI agents in 5 lines of code.

Deploy AI agents in 5 lines of code.

3 min read
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