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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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Hybrid Search in 100 Lines: BM25 + pgvector with RRF Merge

Hybrid Search in 100 Lines: BM25 + pgvector with RRF Merge

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6 min read
A Unified View of AI Evolution: From Machine Learning to LLMs, RAG, and Fine-Tuning

A Unified View of AI Evolution: From Machine Learning to LLMs, RAG, and Fine-Tuning

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5 min read
Beyond Vector Search: Building a Clause Forest (FoC) Architecture for Financial RAG

Beyond Vector Search: Building a Clause Forest (FoC) Architecture for Financial RAG

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7 min read
đź§  Streaming LLM APIs Can Quietly Give Free Tokens

đź§  Streaming LLM APIs Can Quietly Give Free Tokens

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1 min read
How I caught a silent NaN bug in production RAG, by asking the system to debug itself

How I caught a silent NaN bug in production RAG, by asking the system to debug itself

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6 min read
Measuring RAG vs. Fine-tuning ROI for Agent Knowledge

Measuring RAG vs. Fine-tuning ROI for Agent Knowledge

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9 min read
Neo4j graph database for GraphRAG, install, Cypher, vectors, ops

Neo4j graph database for GraphRAG, install, Cypher, vectors, ops

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6 min read
Building RAG & Knowledge Bases with seekdb: Three Paths, One Stack

Building RAG & Knowledge Bases with seekdb: Three Paths, One Stack

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4 min read
Introduction to RAG

Introduction to RAG

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2 min read
Stop Wasting Days on RAG Setup: How uv + pyseekdb Cut Your Development Time by 90%

Stop Wasting Days on RAG Setup: How uv + pyseekdb Cut Your Development Time by 90%

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5 min read
The Ultimate Generative AI Roadmap (2026 Edition)

The Ultimate Generative AI Roadmap (2026 Edition)

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2 min read
From 62% to 94% RAG Accuracy: The 5 Architecture Changes That Actually Moved the Needle

From 62% to 94% RAG Accuracy: The 5 Architecture Changes That Actually Moved the Needle

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8 min read
Your RAG Eval Set Is Probably Wrong. The Test That Catches It.

Your RAG Eval Set Is Probably Wrong. The Test That Catches It.

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7 min read
Stop Caching the Whole LLM Response. Cache the Embedding.

Stop Caching the Whole LLM Response. Cache the Embedding.

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8 min read
Hybrid Search Is the Phrase You'll Hear at Every RAG Talk in 2026

Hybrid Search Is the Phrase You'll Hear at Every RAG Talk in 2026

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7 min read
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