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• Remove or modify outdated files.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.