Libraria
Build production-ready RAG applications and custom AI assistants from your documentation in minutes.
Transform your business knowledge into hyper-responsive AI chatbots in seconds.
FastBots represents the 2026 standard for accessible RAG-based (Retrieval-Augmented Generation) chatbot architecture, designed specifically for SMEs that require rapid deployment without technical overhead. The platform's core engine utilizes advanced vector embeddings to ingest unstructured data—including PDFs, website URLs, and raw text—creating a semantic knowledge base that powers GPT-4o and Claude 3.5 Sonnet-driven interactions. In the 2026 market, FastBots distinguishes itself through its 'Zero-Hallucination' guardrails and native support for multi-modal inputs, allowing users to interact with bots via text and voice. Architecturally, the platform is optimized for low-latency responses, typically clocking under 1.5 seconds per query. It bridges the gap between simple FAQ bots and complex enterprise agents by offering white-labeling, custom domain mapping, and robust lead-capture workflows. Its positioning focuses on the 'democratization of agency,' where even non-technical marketing teams can deploy agents that perform complex sentiment analysis and high-intent lead routing autonomously.
The bot provides clickable citations for every answer, pulling directly from the uploaded knowledge base to ensure transparency.
Build production-ready RAG applications and custom AI assistants from your documentation in minutes.
Transform your business knowledge into autonomous, high-conversion AI chat agents.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Schedule-based re-crawling of website URLs to keep the bot’s knowledge base current without manual uploads.
Context-aware lead forms that trigger based on conversation intent or duration.
Ability to host the chatbot dashboard and widget on a custom CNAME record.
Dynamically switches response language based on the user's input using NLU (Natural Language Understanding).
Detailed heatmaps of common queries and sentiment analysis of user interactions.
Seamless transition from AI to a live agent via Slack or Email alerts when sentiment turns negative.
High volume of repetitive questions regarding shipping policies and return procedures.
Registry Updated:2/7/2026
Users struggle to find technical documentation during their trial period.
Agents spend too much time filtering out unqualified buyers.