An AI-ready knowledge base in minutes, not weeks

Built for retrieval, not training

An AI knowledge base is a content repository — articles, PDFs, and crawled URLs — that an AI uses to ground its answers via retrieval-augmented generation (RAG). Rather than fine-tuning a model on your data, RAG embeds your content as vectors and retrieves the most relevant chunks at query time, producing accurate answers that reflect your latest documentation.

We don't fine-tune models on your data. Instead we use retrieval-augmented generation: your content is chunked, embedded, and searched semantically. The AI quotes from your real docs — no hallucination, no privacy concerns.

Knowledge gaps are tracked automatically. When the AI doesn't find a confident match, that question is flagged in your dashboard so you can write an article and improve future deflection.