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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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RAGEval: Scenario-specific RAG evaluation dataset generation framework
parth_roy_a1ec4703407d025 profile

RAGEval: Scenario-specific RAG evaluation dataset generation framework

#ai #llm #rag #openai
1
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8 min read
Rag Architecture Easy Explained
akeshlovescience profile

Rag Architecture Easy Explained

#rag #ai #genai
13
Comments 2
3 min read
From Notebook to Serverless: Creating a Multimodal Search Engine with Amazon Bedrock and PostgreSQL
elizabethfuentes12 profile

From Notebook to Serverless: Creating a Multimodal Search Engine with Amazon Bedrock and PostgreSQL

#vectordatabase #postgressql #aws #rag
5
Comments
3 min read
Context Caching: Is It the End of Retrieval-Augmented Generation (RAG)? 🤔
abhinowww profile

Context Caching: Is It the End of Retrieval-Augmented Generation (RAG)? 🤔

#ai #gpt3 #rag #deeplearning
7
Comments
3 min read
Desplegando una Aplicación de Embeddings Serverless con AWS CDK, Lambda y Amazon Aurora PostgreSQL
elizabethfuentes12 profile

Desplegando una Aplicación de Embeddings Serverless con AWS CDK, Lambda y Amazon Aurora PostgreSQL

#aws #python #vectordatabase #rag
5
Comments
6 min read
Optimizing RAG Context: Chunking and Summarization for Technical Docs
oleh-halytskyi profile

Optimizing RAG Context: Chunking and Summarization for Technical Docs

#rag #ai #llm #development
13
Comments
20 min read
How OpenAI o1 works in a simple way and why it matters for RAG and Agentic 🤯
rave_4e6b748 profile

How OpenAI o1 works in a simple way and why it matters for RAG and Agentic 🤯

#openai #ai #rag #llm
Comments
6 min read
Dockerize Local RAG with Models
lazypro profile

Dockerize Local RAG with Models

#tutorial #docker #rag #ai
12
Comments
3 min read
AI-Powered Bot using Vectorized knowledge Architecture
ragoli86 profile

AI-Powered Bot using Vectorized knowledge Architecture

#genai #rag #vectordatabase
1
Comments
4 min read
Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain
elizabethfuentes12 profile

Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain

#aws #python #vectordatabase #rag
2
Comments
4 min read
De Notebook a Serverless: Creando un Motor de Búsqueda Multimodal con Amazon Bedrock y PostgreSQL
elizabethfuentes12 profile

De Notebook a Serverless: Creando un Motor de Búsqueda Multimodal con Amazon Bedrock y PostgreSQL

#vectordatabase #postgressql #aws #rag
1
Comments
4 min read
Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL
elizabethfuentes12 profile

Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL

#aws #python #rag #vectordatabase
2
Comments
6 min read
Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain
elizabethfuentes12 profile

Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain

#aws #python #vectordatabase #rag
1
Comments
4 min read
RAG Simplified!! 🐣
rohan_sharma profile

RAG Simplified!! 🐣

#python #ai #rag #llm
71
Comments 30
6 min read
🤖100 Days of Generative AI - Understanding Retrieval-Augmented Generation (RAG) in Simple Terms - Day 7🤖
lakhera2015 profile

🤖100 Days of Generative AI - Understanding Retrieval-Augmented Generation (RAG) in Simple Terms - Day 7🤖

#rag #llm #ai #machinelearning
Comments
1 min read
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