Epsilla
Epsilla | RAG-as-a-Service Platform for Building Vertical LLM Agents.
Epsilla, RAG-as-a-Service Platform for Building Vertical LLM Agents. Reviews, Promo Codes, Pros & Cons.
Epsilla: All-in-One Platform for Building AI Agents with Your Private Knowledge
Overview:
Epsilla is an all-in-one platform designed to facilitate the creation, iteration, and deployment of AI agents powered by your private data and knowledge. It caters to domain professionals seeking user-friendly, no-code solutions, AI experts desiring deep customization, and enterprises requiring robust security, scalability, and integration capabilities. ?
Key Features:
Knowledge Base Creation: Build high-quality knowledge bases from diverse data sources, including uploaded files, websites, Google Drive, Notion, and cloud storage. ?
AI Agent Customization: Customize AI agents with options for appearance, prompt tuning, workflow customization, and advanced, modular, agentic, and graph-based Retrieval-Augmented Generation (RAG). ?
Evaluation and Monitoring: Evaluate agent performance, monitor user engagement, and manage user feedback through a comprehensive dashboard. ?
Security and Access Control: Implement detailed access control at both the project and application levels, ensuring data security and compliance with enterprise standards. ?
Use Cases:
AI Financial Analyst: Automate data retrieval and analysis from financial reports and news, reducing costs by 90% and increasing efficiency by tenfold. ?
AI Lawyer Assistant: Search, summarize, and analyze legal documents from public and private court databases, significantly reducing the time and cost of legal research by up to 80%. ?
AI Customer Support: Automate responses to customer inquiries, provide instant answers, and escalate complex issues to human agents, thereby reducing response time and increasing customer satisfaction. ?
AI Recruiting: Efficiently screen and shortlist candidates by analyzing resumes and job descriptions with semantic matching workflows, saving 70% of time and resources.

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