Unlock the Power of Retrieval Augmented Generation (RAG) for Up-to-Date AI Answers π
Discover how Embedding Models, Vector Databases, and LangChain enhance large language models with real-time data retrieval, keeping AI responses accurate and current.

Architecture Bytes - AI
30.9K views β’ Jan 15, 2024

About this video
Large language models provide great answers, but they're limited to the data they have been trained on. Over a period of time they tend to become outdated if not trained on latest data.
We can use "Retrieval-Augmented Generation" or RAG to augment the LLMs knowledge - so that they can work with relevant latest or proprietary data. In this video we go over the concepts of RAG, Vector Databases and LangChain - which is a opensource framework to implement RAG.
This is an Introduction to Retrieval Augmented Generation.
#artificialintelligence #langchain #llm #rag #RetrievalAugmentedGeneration #NLP
We can use "Retrieval-Augmented Generation" or RAG to augment the LLMs knowledge - so that they can work with relevant latest or proprietary data. In this video we go over the concepts of RAG, Vector Databases and LangChain - which is a opensource framework to implement RAG.
This is an Introduction to Retrieval Augmented Generation.
#artificialintelligence #langchain #llm #rag #RetrievalAugmentedGeneration #NLP
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Video Information
Views
30.9K
Likes
503
Duration
4:34
Published
Jan 15, 2024
User Reviews
4.6
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