Description
Pegasus AI offers a robust Workspace RAG (Retrieval-Augmented Generation) platform designed for teams and operators to build AI assistants powered by their own knowledge bases. The platform allows users to upload various document formats, including PDF, DOCX, Markdown, and TXT, and then train AI bots that can be deployed across multiple surfaces.
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Key capabilities include building AI assistants from uploaded documents, enabling chat within a team's workspace, publishing secure website widgets for external users, and connecting scoped API clients for programmatic access. Pegasus AI emphasizes control and governance, allowing owners to track usage across personal and team contexts, monitor credit consumption, and manage bot deployments effectively.
The platform supports two retrieval modes: a fast standard RAG for everyday queries and an advanced 'Max Mode' for complex, multi-section reasoning with reranking and synthesis. For external deployment, a production-ready website widget can be published with an owned widget token, active controls, and exact allowed origin restrictions. Team workspaces facilitate collaboration by allowing bots to be shared among members, with clear management of seats and invitations, and respect for read-only states.
Pegasus AI also provides scoped API access through Personal Access Tokens, offering presets, expiry options, and narrow scopes for secure integration. Usage and quota visibility are paramount, with analytics tracking requests and credits by date range, source, bot, member, and team, enabling owners to understand and explain consumption. The platform aims to provide one assistant with several controlled paths, moving from internal testing to public deployment without losing governance.
Target users include businesses and teams looking to leverage their internal documentation to create AI-powered support, knowledge retrieval, or internal tools. The value proposition lies in offering a comprehensive, controlled environment for building, deploying, and operating AI assistants, with clear visibility into usage and costs, and flexible deployment options.
- CategoryAI Chatbot Builders
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Pegasus AI's Core Features
Build AI assistants from uploaded documents (PDF, DOCX, Markdown, TXT)
Deploy bots via workspace chat, website widget, or API clients
Support for standard RAG and advanced 'Max Mode' for complex reasoning
Publish secure website widgets with controlled access and origin restrictions
Team workspaces for sharing bots and managing member access
Scoped API access with Personal Access Tokens and narrow scopes
Detailed usage and quota visibility by source, bot, member, and team
Bilingual product guides available in English and Vietnamese
Three-step bot creation process: identity, knowledge, and behavior
Bot cards display status, ownership, document count, and sharing context
Widget token rotation with grace period for active sessions
Usage analytics connect product behavior to billing context
Monthly pricing plans scaling by bot count, document storage, and credits
How to use Pegasus AI?
Create Bot: Define bot identity and upload documents.
Train Bot: Choose a parser and let Pegasus process training with visible progress.
Test Bot: Chat in the workspace, switch models, and use Max Mode for deeper synthesis.
Deploy Bot: Share within teams, embed a website widget, or create API tokens.
Monitor Usage: Review credit footprint by source and analyze traffic spikes.
Pegasus AI's Use Cases
- Internal Knowledge Base
- Customer Support Chatbot
- API-driven Information Retrieval
- Team Collaboration Tool
- Document Analysis and Synthesis
- Usage Monitoring and Cost Control
