Libraria lets a business build an AI chatbot, embeddable search bar, or FAQ widget trained on its own content, uploaded PDFs, or up to thousands of documents, with no coding required to set up or embed. It supports prompt-injection tagging to flag attempted manipulation of the assistant, exportable chat history, and chat analytics, and can be embedded as a search bar, an oracle-style widget, a full chat interface, or used as an internal business chatbot for a team’s own staff. Founded in 2023, the company runs an active Discord community and a developer API and React SDK for teams that want tighter integration than an embedded widget.
Answer quality depends entirely on the documents and data a business uploads, so a knowledge base that is thin, outdated or contradictory will produce weaker answers regardless of which underlying model powers it; the platform’s own FAQ addresses this by letting an admin correct an AI response directly. Lower tiers run on GPT-3.5 rather than GPT-4, which is a real accuracy difference for complex questions, so a business relying on nuanced answers should budget for the Team tier or higher rather than assuming the entry plan performs the same as the higher ones.
Free is $0 a month for 1 AI agent and 50 GPT-3.5 messages a month, including chat analytics and exportable history. Individual is $19 a month for 2 agents, 2,000 GPT-3.5 messages and 2 million characters of content. Team is $99 a month for 5 agents, 25,000 messages, GPT-4 and GPT-3.5-16K access, 25 million characters and 5 team members. Enterprise starts at $495 a month for 30 agents, 100,000 messages, white labeling, 20 team members and white-glove integration with WhatsApp and Shopify.
