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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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How We Built Perceive: Web Content Extraction for RAG Pipelines

How We Built Perceive: Web Content Extraction for RAG Pipelines

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8 min read
Your Gemini Answer Has Citations. Is It Actually Grounded?

Your Gemini Answer Has Citations. Is It Actually Grounded?

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Comments 2
5 min read
Why RAG Docs Chatbots Answer Wrong: Embeddings, Chunking, and Context Fixes

Why RAG Docs Chatbots Answer Wrong: Embeddings, Chunking, and Context Fixes

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6 min read
Building a podcast summarizer in 20 lines of Python

Building a podcast summarizer in 20 lines of Python

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3 min read
Tracing ORAG's Path from Document Ingestion to Hybrid Retrieval

Tracing ORAG's Path from Document Ingestion to Hybrid Retrieval

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3 min read
Ingest-Time Compilation Takes On Query-Time RAG, and Agentic Retrieval Meets Its Limits

Ingest-Time Compilation Takes On Query-Time RAG, and Agentic Retrieval Meets Its Limits

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6 min read
When RAG Failure Labels Depend on Retrieval Depth

When RAG Failure Labels Depend on Retrieval Depth

Comments 1
4 min read
Evolution of Language Models - Every LLM Breakthrough Was Just a Bug Fix

Evolution of Language Models - Every LLM Breakthrough Was Just a Bug Fix

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Comments 1
8 min read
Generative AI Developer Career Path — Beyond AI Fundamentals (2026)

Generative AI Developer Career Path — Beyond AI Fundamentals (2026)

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7 min read
I Spent $5 on OpenRouter While Building AI Features for an NGO App

I Spent $5 on OpenRouter While Building AI Features for an NGO App

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Comments 2
5 min read
Why your company's search bar can't find the answer that's right there

Why your company's search bar can't find the answer that's right there

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4 min read
5 Practical RAG Challenges and How to Mitigate Them

5 Practical RAG Challenges and How to Mitigate Them

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5 min read
9 RAG Techniques That Actually Improve Retrieval Quality

9 RAG Techniques That Actually Improve Retrieval Quality

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Comments 2
12 min read
Almanac's Company-Context Agent: How YC S26 Wires Internal Knowledge into Every LLM Call

Almanac's Company-Context Agent: How YC S26 Wires Internal Knowledge into Every LLM Call

Comments 2
6 min read
I Wanted a RAG System That Could Show Its Work, So I Built Alchimista

I Wanted a RAG System That Could Show Its Work, So I Built Alchimista

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Comments 1
4 min read
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