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Engeenering

Create Your ChatBot Assistant

Milutin Studen

|

Jun 17, 2024

Creating a chatbot assistant involves integrating several key components: data scraping, vector databases, semantic query routing, and utilizing an LLM.

This tutorial demonstrated how to implement RAG to enhance your chatbot’s knowledge and accuracy. By following the steps outlined, you can collect and process data, develop chatbot logic, and deploy your chatbot efficiently. Additionally, integrating tools like Langfuse can help you track and evaluate your chatbot’s performance, ensuring continuous improvement.

The project is open-source and all contributions are welcome! For a detailed explanation, you can read a blog on Medium. To dive into a code, visit the GitHub repository and give it a :star:️.

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