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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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Exa vs Tavily in 2026: Our Agent Web Search Benchmark

Exa vs Tavily in 2026: Our Agent Web Search Benchmark

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11 min read
We Find the Public Files Others Don't: Building Archive777 to Research 1.4+ Million Source Files

We Find the Public Files Others Don't: Building Archive777 to Research 1.4+ Million Source Files

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4 min read
How AI Understands Meaning — Embeddings Explained for Backend Engineers

How AI Understands Meaning — Embeddings Explained for Backend Engineers

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8 min read
Don't Switch Embedding Models on Vibes. Build a Tiny Retrieval Eval in TypeScript.

Don't Switch Embedding Models on Vibes. Build a Tiny Retrieval Eval in TypeScript.

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10 min read
I Built a Support Bot That Knows When to Stop and Call a Human

I Built a Support Bot That Knows When to Stop and Call a Human

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6 min read
My PDF converter errored on a file every reader could open — owner passwords aren't open passwords

My PDF converter errored on a file every reader could open — owner passwords aren't open passwords

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2 min read
You gave AI your documents. It's still wrong. Here's how to find out why.

You gave AI your documents. It's still wrong. Here's how to find out why.

Comments 2
7 min read
10 AI reference architectures you can copy

10 AI reference architectures you can copy

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6 min read
S3 Vectors Now Filters Before It Searches: Metadata Pre-Filtering for Multi-Tenant RAG

S3 Vectors Now Filters Before It Searches: Metadata Pre-Filtering for Multi-Tenant RAG

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8 min read
An LLM is not an AI product

An LLM is not an AI product

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1 min read
AI Knowledge Base Without Stale Answers: A Practical Guide to Freshness, Permissions and Sources

AI Knowledge Base Without Stale Answers: A Practical Guide to Freshness, Permissions and Sources

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7 min read
Stop Searching Your Documents Manually: Build Your Own AI Knowledge Base with n8n, Gemini, and Qdrant

Stop Searching Your Documents Manually: Build Your Own AI Knowledge Base with n8n, Gemini, and Qdrant

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5 min read
How to Build a Production RAG System Step by Step (Python, pgvector, Hybrid Search, Reranking)

How to Build a Production RAG System Step by Step (Python, pgvector, Hybrid Search, Reranking)

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3 min read
Cosine Similarity Said 0.92. The Payload Was Already Dead.

Cosine Similarity Said 0.92. The Payload Was Already Dead.

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11 min read
My URL-to-Markdown extractor returned a cookie banner as the article body — text density has no taste

My URL-to-Markdown extractor returned a cookie banner as the article body — text density has no taste

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2 min read
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