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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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Your Ollama App Is Guessing. Three Ways to Make It Answer From Data

Your Ollama App Is Guessing. Three Ways to Make It Answer From Data

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4 min read
Choosing Amazon Bedrock Managed Knowledge Bases: An Architecture Decision in My RAG Application

Choosing Amazon Bedrock Managed Knowledge Bases: An Architecture Decision in My RAG Application

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9 min read
I benchmarked 8 PDF extractors on 27 documents from 1 to 487 pages. Here's what broke, and what won.

I benchmarked 8 PDF extractors on 27 documents from 1 to 487 pages. Here's what broke, and what won.

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18 min read
Turn any web page into clean Markdown for your LLM, without ignoring robots.txt

Turn any web page into clean Markdown for your LLM, without ignoring robots.txt

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4 min read
Deleted, Emptied, Half-Written: 6 Files a Nightly RAG Ingestion Job Gets Wrong in .NET 10

Deleted, Emptied, Half-Written: 6 Files a Nightly RAG Ingestion Job Gets Wrong in .NET 10

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5 min read
HTML to clean Markdown chunks in Python, and spotting what really changed

HTML to clean Markdown chunks in Python, and spotting what really changed

Comments 2
20 min read
Your First RAG Application for a PDF Summay

Your First RAG Application for a PDF Summay

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2 min read
ChaosCypher v0.4.3: When a Clean Restart Lost More Work Than a Crash

ChaosCypher v0.4.3: When a Clean Restart Lost More Work Than a Crash

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5 min read
Your AI cited a real file. It still lied to you.

Your AI cited a real file. It still lied to you.

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6 min read
Your RAG Answer Is Wrong. Check What Reached the Prompt Before Changing the Model.

Your RAG Answer Is Wrong. Check What Reached the Prompt Before Changing the Model.

Comments 1
3 min read
Build a Multi-Agent RAG Legal Assistant with LangGraph, FastAPI, and Streamlit (Beginner Guide)

Build a Multi-Agent RAG Legal Assistant with LangGraph, FastAPI, and Streamlit (Beginner Guide)

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8 min read
Jev in Depth: Can It Reshape Agent Search?

Jev in Depth: Can It Reshape Agent Search?

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7 min read
Building a Simple RAG System with Python, ChromaDB and Gemini

Building a Simple RAG System with Python, ChromaDB and Gemini

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2 min read
Bad RAG Answers? Check Retrieval Before You Touch the Prompt

Bad RAG Answers? Check Retrieval Before You Touch the Prompt

Comments 3
6 min read
A saved reply is written for one customer. Your support bot can send it to anyone.

A saved reply is written for one customer. Your support bot can send it to anyone.

3
Comments
6 min read
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