If you're looking for a framework that enforces best practices and conventions for building trustworthy AI-powered conversational interfaces, Got It AI offers a comprehensive solution. Their AutoRAG platform includes a TruthChecker model that detects and corrects hallucinations in generative AI chatbots, ensuring reliable and trustworthy responses. The platform is highly customizable, supports various Large Language Models (LLMs), and works in enterprise cloud environments, adhering to security and compliance standards.
Another excellent option is the Microsoft Bot Framework, an open-source platform for building enterprise-grade conversational AI experiences. It leverages Azure Cognitive Services for advanced natural language understanding and generation, and features a visual authoring canvas, custom language models, and search capabilities. This framework supports a wide range of use cases and helps organizations maintain control over their data while creating AI experiences that extend their brand.
For a platform that focuses on generative AI capabilities within enterprise applications, consider Avaamo. Avaamo uses the LLaMB framework to create secure and high-performance GenAI solutions that automate business processes and improve customer experience. Its features include an Agent Assist Copilot, Conversational Analytics, and extensive pre-built integrations, making it ideal for large enterprises looking to enhance productivity and customer interactions.
If data privacy and security are top priorities, ZeroTrusted.ai provides a powerful tool for protecting sensitive information when using LLMs. The LLM Firewall ensures prompt anonymity and prevents hallucinations and suspicious inputs, offering various pricing tiers to fit different organizational needs. This service is particularly suitable for tech startups and companies dealing with sensitive data like PII, PHI, and PCI.