Knowledge base assistants

Libraria builds chat assistants grounded in your own documents and data. A Beam agent watches your source folder, reads new or edited files, and applies your rule to add them to the right assistant's knowledge base. When a document contradicts existing content or contains sensitive material, the agent holds it and alerts an owner instead of loading it. A person decides which sources an assistant should learn from and confirms that answers stay accurate after each knowledge update goes in. The agent notes when a source was added so an owner can trace where a given answer came from later on.

Embedded chat widgets

Libraria embeds custom assistants on your website and apps so visitors can ask questions. A Beam agent reads incoming conversations, checks each question against your rule set, and files the exchange under the topic it belongs to. When a visitor asks something outside the assistant's knowledge or requests a human, the agent routes the conversation to your support queue. People handle escalations, billing questions, and anything the assistant should not answer on its own without a person present. The agent keeps each conversation attached to the visitor record so your team sees the full history when they step in.

Conversation logs

Libraria records every assistant conversation so teams can see what visitors actually ask. A Beam agent reads new logs, groups questions by theme using your rule, and updates a report that shows where the assistant struggles to answer. When a cluster of unanswered questions appears, the agent notifies the content owner so the knowledge base can be improved. A person decides which gaps to fill first and whether an answer pattern signals a real problem worth fixing. The agent refreshes the report on a schedule you set so the picture of what visitors ask stays current for the content team.