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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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Rebuilding the Cerebras Knowledge Base: Results Appendix (P1–P4)

Rebuilding the Cerebras Knowledge Base: Results Appendix (P1–P4)

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4 min read
Turning Any Webpage into Clean, LLM-Ready Markdown for RAG Pipelines

Turning Any Webpage into Clean, LLM-Ready Markdown for RAG Pipelines

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4 min read
Rebuilding the Cerebras Knowledge Base: adding hybrid search

Rebuilding the Cerebras Knowledge Base: adding hybrid search

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6 min read
Rebuilding the Cerebras Knowledge Base: the naive vector baseline

Rebuilding the Cerebras Knowledge Base: the naive vector baseline

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5 min read
Fine-tuning vs RAG vs prompting: pick the right lever

Fine-tuning vs RAG vs prompting: pick the right lever

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3 min read
Quando o RAG erra, quase nunca é o LLM: 4 falhas de recuperação e como logar cada uma

Quando o RAG erra, quase nunca é o LLM: 4 falhas de recuperação e como logar cada uma

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3 min read
Retrieval Is Not Memory

Retrieval Is Not Memory

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1 min read
Why Your LLM Costs Are Exploding (And the 6 Fixes Every Developer Misses)

Why Your LLM Costs Are Exploding (And the 6 Fixes Every Developer Misses)

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4 min read
I built a RAG assistant, then found out my architecture change made it worse

I built a RAG assistant, then found out my architecture change made it worse

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5 min read
ColBERT Late Interaction: Advancing RAG Beyond Dense Embeddings

ColBERT Late Interaction: Advancing RAG Beyond Dense Embeddings

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4 min read
Implementing Node.js Support Triage — Summarize PDF Pages with Embeddings

Implementing Node.js Support Triage — Summarize PDF Pages with Embeddings

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7 min read
Build a RAG-Based AI Assistant in Kotlin with a Vector Database

Build a RAG-Based AI Assistant in Kotlin with a Vector Database

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3 min read
We Almost Deployed a Temporal Knowledge Graph. The Eval Said No.

We Almost Deployed a Temporal Knowledge Graph. The Eval Said No.

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7 min read
I Benchmarked My Homelab Memory Stack: Hybrid Search + Local Reranker Took LoCoMo from 63% to 80%

I Benchmarked My Homelab Memory Stack: Hybrid Search + Local Reranker Took LoCoMo from 63% to 80%

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9 min read
Building a Multi-Agent AI Pipeline That Ships: LangGraph, RAG, and Evals That Matter

Building a Multi-Agent AI Pipeline That Ships: LangGraph, RAG, and Evals That Matter

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6 min read
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