Retrieval Augmented Generation (RAG) | Embedding Model, Vector Database, LangChain, LLM
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 Over a period of time they tend to become outdated if...
🔥 Related Trending Topics
LIVE TRENDSThis video may be related to current global trending topics. Click any trend to explore more videos about what's hot right now!
THIS VIDEO IS TRENDING!
This video is currently trending in Thailand under the topic 'สภาพอากาศ'.
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 Over a period of time they tend to become outdated if not trained on latest data.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
Video Information
Views
30.9K
Total views since publication
Likes
503
User likes and reactions
Duration
4:34
Video length
Published
Jan 15, 2024
Release date
Quality
hd
Video definition
About the Channel
Tags and Topics
This video is tagged with the following topics. Click any tag to explore more related content and discover similar videos:
#retrieval augmented generation #RAG #retrieval augmented generation explained #retrieval-augmented generation #retrieval augmented generation tutorial #retrieval augmented generation openai #retrieval augmented generation chatgpt #large language models #rag example #retrieval augmented generation (rag) #retrieval augmented generation llm #retrieval augmented generation langchain #LangChain #LLM #Vector Embedding #Vector Database #Embedding Model #GPT
Tags help categorize content and make it easier to find related videos. Browse our collection to discover more content in these categories.