Beyond Keywords: The Science of Automated Vectorization

How does an AI actually “understand” a question? It’s not about matching words; it’s about Vectorization. At frenzy.bot, we use high-dimensional embedding models to turn your raw documentation into a searchable “vector brain.”

Powered by Qdrant

We leverage Qdrant, a leading vector database, to store and retrieve information with sub-second latency. This allows the AI to understand the intent behind a query. If a customer asks “How much does it cost?”, the bot understands they are looking for “pricing” or “plans” without needing those exact words.

Omnichannel Data Ingestion

Whether it’s live web scraping or “drop-and-deploy” file syncing for PDFs and Word docs, frenzy.bot indexes your entire knowledge base automatically, keeping your brain in sync with your business.