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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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I built a "boring" RAG demo over World Cup data — SQLite, sqlite-vec, and no framework

I built a "boring" RAG demo over World Cup data — SQLite, sqlite-vec, and no framework

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4 min read
Token Cost Optimization: How to Cut LLM Inference Spend Without Cutting Quality

Token Cost Optimization: How to Cut LLM Inference Spend Without Cutting Quality

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5 min read
Your RAG Stack Is Solving the 2023 Problem

Your RAG Stack Is Solving the 2023 Problem

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7 min read
RAG From Scratch in Python

RAG From Scratch in Python

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11 min read
The Difference Between Search and Discovery

The Difference Between Search and Discovery

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3 min read
Four pgvector patterns that kept our RAG SaaS on one Postgres

Four pgvector patterns that kept our RAG SaaS on one Postgres

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6 min read
I'm building CortexDB — an agent-native context database for AI agents

I'm building CortexDB — an agent-native context database for AI agents

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1 min read
How I Built a Campus-Specific AI Chatbot for UET Taxila Using RAG

How I Built a Campus-Specific AI Chatbot for UET Taxila Using RAG

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4 min read
Practical Agent Architecture: State, Failure Recovery, and the Hidden Variables of Reliable LLM Systems

Practical Agent Architecture: State, Failure Recovery, and the Hidden Variables of Reliable LLM Systems

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5 min read
Why Not Every AI Application Needs Vector Embeddings

Why Not Every AI Application Needs Vector Embeddings

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7 min read
3 bugs I hit wiring DeepEval into my RAG pipeline (and what each one taught me about RAG evaluation)

3 bugs I hit wiring DeepEval into my RAG pipeline (and what each one taught me about RAG evaluation)

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6 min read
Production RAG at Scale: Lessons from Processing 10,000+ Listings Daily

Production RAG at Scale: Lessons from Processing 10,000+ Listings Daily

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6 min read
Building a multi-agent document-search copilot — Part 2: adaptive Hybrid, and a permission gate after the rank

Building a multi-agent document-search copilot — Part 2: adaptive Hybrid, and a permission gate after the rank

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6 min read
RAG vs Fine-Tuning: Which Approach Should You Choose?

RAG vs Fine-Tuning: Which Approach Should You Choose?

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3 min read
RAG-Based Testing Series — Part 4: Edge Cases — What Breaks RAG & How to Catch It

RAG-Based Testing Series — Part 4: Edge Cases — What Breaks RAG & How to Catch It

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14 min read
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