Advance RAG 12- Powerful RAG with Merger Retriever and Hypothetical Document Embeddings(HyDE)

RAG systems combine the power of retrieval mechanisms with generative models to create more informed and contextually accurate responses. The video likely covers how to implement a Hypothetical Document Embeddings(HyDE), which retrieves more granular pieces of information . This information is then fed into the generative model to enhance the context and relevance of the output.
#llm #embedding #ai #futureai #generativeai #genai #textgeneration #ragapp #langchain #programminglogic #python #chatbot #openai #gpt #langchainj #rag # reranking #cohereai #bm25 #crossencoder #transformers #multiretriever #ragfusion #advancerag #llamaindex
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[@habeelhashmi2198]

thanks for the video very helpful

[@PhotoshoppersStop]

Plz make similar playlist on Langgraph.... Thanks as always 🤩😇

[@hamidraza1584]

Amazing guy and amazing guy , love😢 from Lahore Pakistan

[@sanketsaurabh5881]

sir after completing generative ai completely will you please cover all the mlops tools

[@Imranali78664]

Sir, please upload a Generative AI course in Hindi. I have been requesting this for the past 4 months. There is already a lot of content available in English, but many Hindi-medium students who are not financially stable rely on your videos to learn. Please help us by providing this content in Hindi as well. Thank you, sir!

[@aryan.2763]

Thank you sir❤

[@Umairkhan-j8p]

I have followed your video, but the chatbot is still giving answers outside the provided context, even after using your system prompt and making adjustments. For example, if I say "I'm sad, write a joke for me," it still writes a joke. This is the issue I'm encountering. Could you please provide a solution?

[@iducater9882]

The link to the form does not work