In this tutorial, we'll explore the process of building a chatbot capable of engaging with multiple documents. Leveraging the capabilities of LangChain as our chosen framework, we'll construct a robust Q/A application. Our chatbot will draw information from Chroma DB, serving as our Vector Database, and it will be powered by the advanced language processing abilities of Gemini Pro, our Large Language Model (LLM). Join us as we delve into the intricacies of creating a sophisticated chatbot that seamlessly interacts with diverse documents.

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#geminiLangchainBeginnersGuide #integration #geminiLangchainIntegration #integrateGeminiLangchain

LINKS:
Colab :[ Ссылка ]
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Google API:[ Ссылка ]

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