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- # RetrievalQA chain and sourcing Barbie Movie Review documents in a ChainLit application.
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- This app uses LangChain to orchestrate RAQA task into a vector store to then help gpt-3.5-turbo do it's own show.
 
 
 
 
 
 
 
 
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+ # Creating a more robust RAQA system using LlamaIndex
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+ A system for querying both qualitative and quantitative data using LlamaIndex.
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+ # Build πŸ—οΈ
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+ There are 3 main tasks in this application:
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+ - Create a Qualitative VectorStore query engine
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+ - Create a quantitative NLtoSQL query engine
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+ - Combine the two using LlamaIndex's OpenAI agent framework.