Learning Process

Luxia uses an artificial intelligence engine to understand, index, and respond to user queries based on integrated data.

🧠 How the Learning Engine Works

When a data source is added, Luxia follows several steps:

  1. Extraction: Retrieving textual content from a file or URL.
  2. Segmentation: Splitting texts into understandable blocks.
  3. Indexing: Converting blocks into numerical vectors for fast searching.
  4. Query Processing: When a user asks a question, Luxia analyzes the request and finds the most relevant passage.

🔍 Optimizing the Learning Process

📌 Updating Data

  • Regularly add new sources to enhance the knowledge base.
  • Remove or modify outdated files.

📌 Testing Responses

  • Ask a variety of questions to check the chatbot’s accuracy.
  • Adjust document formats for better comprehension.

✅ Conclusion

Luxia’s learning process is designed to provide relevant responses based on supplied data. By keeping the knowledge base up to date, you ensure optimal chatbot performance.