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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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Milestone: RAG-Powered AI App

Milestone: RAG-Powered AI App

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2 min read
From PDF to Evidence: Building a Production-Ready RAG Pipeline

From PDF to Evidence: Building a Production-Ready RAG Pipeline

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5 min read
RAG vs. Long Context 2026: What the Data Really Says

RAG vs. Long Context 2026: What the Data Really Says

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4 min read
Foundry IQ: Inside the Managed Knowledge Layer That Turns RAG Into an Agent Tool Call

Foundry IQ: Inside the Managed Knowledge Layer That Turns RAG Into an Agent Tool Call

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20 min read
#building and deal intelligence agent with president memory

#building and deal intelligence agent with president memory

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2 min read
Your Vector Search Knows “Bank” Is Related to “Bank.” It Doesn’t Know Which Bank You Mean.

Your Vector Search Knows “Bank” Is Related to “Bank.” It Doesn’t Know Which Bank You Mean.

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4 min read
Atlas Bac — AI-powered study assistant for Algerian bac students (History & Geography)

Atlas Bac — AI-powered study assistant for Algerian bac students (History & Geography)

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1 min read
Should our LLM wiki use vector search? We benchmarked it before deciding

Surprising benchmark data on 2k pages

Should our LLM wiki use vector search? We benchmarked it before deciding

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18 min read
Why Did That Chunk Win? 7 Questions I Ask Every Hybrid Search Result in .NET 10

Why Did That Chunk Win? 7 Questions I Ask Every Hybrid Search Result in .NET 10

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6 min read
Running AWS Strands Decider 2B Locally: A Complete Setup Guide for AI Routing & Multi-RAG Systems

Running AWS Strands Decider 2B Locally: A Complete Setup Guide for AI Routing & Multi-RAG Systems

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4 min read
Why RAG breaks on Persian text, and what I built to fix it: normalization, half-spaces, spelling variants, and a regression bench

Why RAG breaks on Persian text, and what I built to fix it: normalization, half-spaces, spelling variants, and a regression bench

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9 min read
Building Better RAG

Building Better RAG

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7 min read
Day 12/90: Before Improving Your RAG App, Establish a Baseline

Day 12/90: Before Improving Your RAG App, Establish a Baseline

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3 min read
Knowledge Graphs vs. LLMs: Why Law Can't Get Far Without a Knowledge Graph

Knowledge Graphs vs. LLMs: Why Law Can't Get Far Without a Knowledge Graph

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4 min read
Hybrid search in Python: BM25 + vectors with Reciprocal Rank Fusion, alpha swept 0 to 1

Hybrid search in Python: BM25 + vectors with Reciprocal Rank Fusion, alpha swept 0 to 1

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5 min read
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