If you want a custom-built LLM that's tuned for your own technology, RunLLM is a good choice. This system learns from your technology's APIs, documentation and community to give you precise, detailed answers. It draws information from multiple sources like documentation and support tickets to give you a broader help experience. RunLLM refines its answers based on usage patterns and feedback, so you get the same results every time and can be confident they're correct.
Another top contender is ClearGPT, an enterprise-focused system that addresses security concerns while offering high model performance and customization. ClearGPT is based on generative AI and LLMs like ChatGPT, but it offers the highest level of control and corporate IP protection. It has a human reinforcement feedback loop, continuous ingestion of fresh data, and easy integration into existing applications, so it's highly adaptable and secure.
LangChain is another contender, letting developers build and run context-aware apps using their own data and APIs. It includes a variety of tools for building, monitoring and deploying LLM-based apps. LangChain can consume multiple APIs and private sources, so it's future proof and vendor agnostic, and it offers pricing that includes a free tier and custom enterprise plans.
If you want something simpler, QueryPal could be a good fit. It's an AI-powered information retrieval system that can be integrated with company documents to generate reports and answer questions automatically. QueryPal can be set up with role-based access controls for security and integrates with Slack and Microsoft Teams, so it's a good way to improve team communication and reduce repetitive questions.