Build a chatbot on your own data in 1 hour with Azure SQL, Langchain and Chainlit
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Creating a custom chatbot using your own data has become straightforward with the help of LangChain, Chainlit, and Azure SQL. By leveraging Azure SQL's new vector support, you can store and query data embeddings. LangChain assists in defining prompts for the chatbot and retrieving relevant session data from the database. Finally, the integration with Chainlit ensures seamless Conversational AI implementation. This process takes less than an hour and can be further expanded based on your requirements.
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