Chatbots, Insight Engine and Large Language Models

8 Open-Source Tools for Retrieval-Augmented Generation (RAG) Implementation

Marktechpost

JANUARY 10, 2024

In simple terms, RAG is a natural language processing (NLP) approach that blends retrieval and generation models to enhance the quality of generated content. It addresses challenges faced by Large Language Models (LLMs), including limited knowledge access, lack of transparency, and hallucinations in answers.

Natural Language Processing

Natural Language Processing Large Language Models Data Ingestion NLP

Unlock the potential of generative AI in industrial operations

AWS Machine Learning Blog

MARCH 19, 2024

This eliminates the need for data scientists to manually develop specific ML models for each use case, and therefore democratizes AI access, benefitting even small manufacturers. Use case 3: Design details In this scenario, we’ve developed a chatbot application focused on root cause analysis, employing the RAG approach.

Generative AI

Generative AI Python Data Analysis AI

Artificial Intelligence Zone

8 Open-Source Tools for Retrieval-Augmented Generation (RAG) Implementation

Unlock the potential of generative AI in industrial operations

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