Advance RAG 08- Powerful RAG with Langchain Contextual Compression Retriever #ai #llm #openai

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Unleash the power of RAG! This video shows how Langchain's Contextual Compression Retriever supercharges information retrieval for your RAG model. Get sharper results, faster!

#llm #embedding #ai #futureai #generativeai #genai #textgeneration #ragapp #langchain #programminglogic #python #chatbot #openai #gpt #langchainj #rag # reranking #cohereai #bm25 #crossencoder #transformers #multiretriever #ragfusion #advancerag

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Комментарии
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please continue this series, really helpful content

usmantahir
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valuable information and waiting for more vedios on RAG

msumanth
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Great video. But the implementation with OPENAI is also mentioned in the document but it will be super useful if you use open source model like mistral and others

mukeshkund
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Advance rag with advance teaching skills

jayeshkhirve
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Hi sunny please continue this playlist . please add the LangGraph part as well industry using it alot.

rutvikjaiswal
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Can suggest / create a video on creating advanced RAG using tabular dataset like SQL table, postgre SQL etc., thanks

PhotoshoppersStop
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Can you please create a video on Q&A to a large size tabular dataset(csv / Excel)

abhgff
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Do we need to create chunking for tabular dataset?

PhotoshoppersStop