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Askora Insights
Askora Blog
Tutorials, technical guides, and business strategy on AI customer support chatbots, local LLM integrations, and RAG architectures.
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Product FAQ
Frequently Asked Questions
Everything you need to know about Askora's training, pricing, technology, and compliance.
Askora crawls your designated website URLs or parses uploaded files (like PDFs, TXT, CSV, or DOCX). It processes the text, converts it into secure vector embeddings, and stores them to feed context directly into your AI assistant for accurate responses.
Through the dashboard, you can configure systemic prompt instructions, set custom starter suggestions, change name/agent titles, edit avatar icons, and control constraints (like limiting responses to the uploaded data only).
Yes, Askora is fully multilingual. It can read websites and documents in over 80 languages and automatically respond to users in the same language they query in.
You can upload PDFs, Word documents (DOCX), Excel/CSV spreadsheets, text files, and custom FAQ sheets. Askora parses text and formatting to index the knowledge base cleanly.
You can configure automatic crawl schedules (daily, weekly, or monthly) or manually trigger a re-crawl from the dashboard at any time to keep your chatbot's knowledge fresh as your content changes.
Our dashboard features a 'Chat Logs' module where you can review all user conversations. If the bot missed an answer, you can directly add custom Q&As to refine its performance instantly.