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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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Max for bitcrowd

Jun 26 '24

A RAG for Elixir

#llm #rag #ai #elixir

9 min read

Will Taner for LLMWare

Jun 24 '24

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

#rag #ai #python #programming

7 min read

Jun 25 '24

Laravel RAG System in 4 Steps!

#laravel #llm #ollama #rag

1 min read

Jun 24 '24

Laravel RAG System in 4 Steps!

#laravel #llm #ollama #rag

7 min read

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Jun 24 '24

Building a Chatbot using your documents with LangChain from Scratch

#chatbot #openai #rag #vectordatabase

9 min read

Jun 24 '24

Protecting RAG Application Against Prompt Injection

#rag #llm #promptengineering

5 min read

David Mezzetti for NeuML

Jun 21 '24

How RAG with txtai works

#ai #llm #rag #vectordatabase

8 min read

Jun 21 '24

Highlights from Day 1 of CascadiaJS 2024

#javascript #ai #rag #vectordatabase

4 min read

Ben Link

Jun 20 '24

The Adventures of Blink #28: RAGs to Riches!

#rag #python #ai #beginners

5 min read

Artur Daschevici

Jun 19 '24

OpenAI api RAG system with Qdrant

#openai #opensource #langchain #rag

6 min read

Jun 19 '24

RAG Techniques: Multi Query

#rag #langchain #llm #ai

2 min read

Yingfeng

Jun 19 '24

Agentic RAG: Definition and Low-code Implementation

#rag #llm #ai

5 min read

Yogesh Choudhary for CommandDash

Jun 18 '24

Using RAG to Build Your IDE Agents

#rag #commanddash #pandasai #vscode

6 min read

Simon Risman for LLMWare

Jun 17 '24

Are we all prompting wrong? Balancing Creativity and Consistency in RAG.

#ai #llm #python #rag

3 min read

Jun 4 '24

Three Key Concepts to Build Future-Proof AI Applications

#ai #rag #embedding #finetuning

10 min read

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