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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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Setting up the database and search for RAG
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Setting up the database and search for RAG

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3 min read
Learning how to make an OLIVER
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Learning how to make an OLIVER

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3 min read
Build Your Own GitHub Copilot with SuperDuperDB: Live Workshop 🚀
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Build Your Own GitHub Copilot with SuperDuperDB: Live Workshop 🚀

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1 min read
How Effective are Retrieval Augmented Generation(RAG) Models?

How Effective are Retrieval Augmented Generation(RAG) Models?

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5 min read
How even the simplest RAG can empower your team
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How even the simplest RAG can empower your team

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10 min read
A RAG for Elixir
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A RAG for Elixir

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9 min read
The Hardest Problem in RAG... Handling 'NOT FOUND' Answers 🔍🤔
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The Hardest Problem in RAG... Handling 'NOT FOUND' Answers 🔍🤔

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7 min read
Laravel RAG System in 4 Steps!
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21:38

Laravel RAG System in 4 Steps!

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1 min read
Laravel RAG System in 4 Steps!

Laravel RAG System in 4 Steps!

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7 min read
Building a Chatbot using your documents with LangChain from Scratch
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Building a Chatbot using your documents with LangChain from Scratch

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9 min read
Protecting RAG Application Against Prompt Injection

Protecting RAG Application Against Prompt Injection

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5 min read
How RAG with txtai works

How RAG with txtai works

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8 min read
Highlights from Day 1 of CascadiaJS 2024

Highlights from Day 1 of CascadiaJS 2024

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4 min read
The Adventures of Blink #28: RAGs to Riches!
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The Adventures of Blink #28: RAGs to Riches!

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5 min read
OpenAI api RAG system with Qdrant
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OpenAI api RAG system with Qdrant

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6 min read
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