kapa.ai is a good option for generating automated responses to technical questions. It creates LLM-based support and onboarding bots that can respond to developer queries, enhancing the developer experience and reducing support requests. The system draws from a variety of technical sources, including documentation, GitHub and Slack, to generate custom chatbots that offer immediate answers and can be updated continuously to keep pace with your changing documentation. It also has a feedback loop, analytics and secure, PII-aware abilities.
Another interesting option is RunLLM, a custom-built developer assistant that's trained on APIs, documentation and community feedback to provide detailed information. It pulls information from multiple sources and refines its results based on usage patterns and feedback to ensure consistency. Other highlights include ecosystem integration with Slack and Discord, and a data-driven approach to answers that avoids hallucinations.
DocsBot trains custom chatbots with ChatGPT, using your own documentation to generate immediate answers for customers, teams or internal users. It offers features like embeddable widgets, automated support ticket responses and interactive Q&A bots. You can import information from a variety of sources and link to Zapier for connections to thousands of other apps, so it can be used for a variety of purposes.
If you want a platform that integrates with your enterprise data, check out Glean. It uses Retrieval Augmented Generation technology to provide personalized answers based on your company's data. Glean creates a single knowledge graph that connects all enterprise data and offers no-code generative AI agents and custom AI applications. The platform is designed to help engineering, support and sales teams work more effectively by providing fast access to the right information.