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Question Answering with LangChain and Qdrant without boilerplate

Building applications with Large Language Models don’t have to be complicated. A lot has been going on recently to simplify the development, so you can utilize already pre-trained models and support even complex pipelines with a few lines of code. LangChain provides unified interfaces to different libraries, so you can avoid writing boilerplate code and focus on the value you want to bring.

Read the full article on how to combine LangChain with Qdrant to create an LLM generative app with vector search included by the link

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