Retrieval-Augmented Generation (RAG) combines search with AI generation. Instead of relying on a model's training data, Ragixy retrieves relevant passages from your documents first, then generates answers grounded in those sources — reducing hallucinations and enabling citations.
Ragixy supports PDF, DOCX, TXT, Markdown, CSV, and HTML files. Integrations include Notion, Confluence, Google Drive, Slack, and custom web crawlers. Enterprise plans add database connectors and API ingestion.
Accuracy depends on your source material quality. Ragixy shows confidence scores and always links to source passages so you can verify every answer. If sources don't contain enough information, Ragixy will tell you rather than guess.
Yes. Pro and Enterprise plans include an embeddable widget and REST API for building customer-facing knowledge assistants powered by your documentation.
Yes — the Starter plan is free forever with 100 queries per month, 3 data sources, and full citation support. No credit card required.
Most users connect their first data source and get their first cited answer in under 5 minutes. Larger knowledge bases with thousands of documents may take longer to index initially, but queries are available as soon as the first batch is processed.
Yes. Ragixy supports querying and answering in 50+ languages. Documents in any language can be indexed and queried cross-lingually.
Yes. Paid plans can be cancelled at any time from your account settings. You'll retain access until the end of your billing period. No cancellation fees.
Never. Your documents and queries are used exclusively for your account. We do not use customer data to train, fine-tune, or improve any shared models. See our Privacy Policy for details.
Ragixy uses a combination of leading models optimized for retrieval-augmented tasks. Enterprise customers can choose specific model providers or bring their own API keys.