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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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Building a RAG Retrieval Service: pgvector, Embedding Migrations, and Provenance Tracking

Building a RAG Retrieval Service: pgvector, Embedding Migrations, and Provenance Tracking

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3 min read
LlamaIndex re-retrieves your chunks — and re-sends up to 75% of your context — on every chat turn

LlamaIndex re-retrieves your chunks — and re-sends up to 75% of your context — on every chat turn

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3 min read
What the Hell Is JEV? And Why Does It Matter in 2027?

What the Hell Is JEV? And Why Does It Matter in 2027?

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8 min read
Your Documents, Chunked and Searchable: The Knowledge Base in ByteChef

Your Documents, Chunked and Searchable: The Knowledge Base in ByteChef

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7 min read
Building a Closed-Domain Agentic AI Knowledge Assistant with Hybrid RAG

Building a Closed-Domain Agentic AI Knowledge Assistant with Hybrid RAG

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2 min read
Enterprise RAG Without Per-Token Pricing: DeepSeek R1 on SageMaker with OpenSearch

Enterprise RAG Without Per-Token Pricing: DeepSeek R1 on SageMaker with OpenSearch

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5 min read
RAG always needs a dedicated vector database — challenged

RAG always needs a dedicated vector database — challenged

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1 min read
Architectural Bottlenecks and Mitigation Strategies in Production Grade RAG Systems

Architectural Bottlenecks and Mitigation Strategies in Production Grade RAG Systems

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3 min read
I described 1,245 tables with an LLM and retrieval got worse

I described 1,245 tables with an LLM and retrieval got worse

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8 min read
The Unit of Return: a 4-Arm Retrieval Experiment on a Real Codebase

The Unit of Return: a 4-Arm Retrieval Experiment on a Real Codebase

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12 min read
Securing a RAG Pipeline — The Threats I Designed Against and the Ones I Didn't

Securing a RAG Pipeline — The Threats I Designed Against and the Ones I Didn't

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8 min read
Local Embeddings vs. API Embeddings — Why I Chose sentence-transformers

Local Embeddings vs. API Embeddings — Why I Chose sentence-transformers

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6 min read
Multilingual RAG Architecture That Works in Production

Multilingual RAG Architecture That Works in Production

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7 min read
GFS Cost More Than 50 Cents a Run. Now Each Run Costs 4 Cents

GFS Cost More Than 50 Cents a Run. Now Each Run Costs 4 Cents

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14 min read
Model Cascade: making LLM classification cheaper

Model Cascade: making LLM classification cheaper

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5 min read
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