The best alternatives to Superpowered AI are Stonly, Langfuse, and HelpKit Knowledge Base. If these 3 options don't work for you, we've listed a few more alternatives below.
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Stonly deploys step-by-step guides, decision trees, AI answers, automations, walkthroughs, checklists, and knowledge bases for agents and customers.
Stonly’s knowledge is interactive and delivered when and where people need it. That means it gets used much more often and can handle every case that comes its way.
Learn how Stonly empowers thousands of companies to support millions of customers at https://stonly.com/
Langfuse is the open source LLM Engineering Platform. It provides observability, metrics, evals, prompt management and a playground and to debug and improve LLM apps.
Langfuse is open. It works with any model, any framework, allows for complex nesting and has open APIs to build downstream use cases.
Docs: https://langfuse.com/docs
Github: https://github.com/langfuse/langfuse
Write your help articles in Notion and HelpKit takes care of the rest. HelpKit offers an embeddable widget, help center or documentation layout, full-text search, analytics and much more. Deliver instant help to your customers without ever leaving Notion.
While everyone is building AI apps, did you ever thought that what's the unique b/w your app and others? Well, the answer lies in data. If you can create a custom LLM with your own data, you can achieve precision and that's huge. Now, do it with Supervised AI.
VectorShift is a no-code platform that lets companies build generative AI applications. Our platform allows users to access prebuilt pipelines (e.g., document generator, chatbots, document search) while letting them build/customize their own.
The Ultimate Collection of 2000 Large Language Models Prompts is a helpful resource for anyone interested in learning about Large Language Models. It provides a variety of prompts to experiment with and understand their applications in various contexts.
With Boogie, you can build NLP applications in minutes using automated workflows. Experiment with LLM prompts, upload proprietary data, regression test in production, tune your application and more.
Rag About It is the premier destination for anyone keen on exploring the dynamic world of AI Retrieval Augmented Generation (RAG). At its core, Rag About It dedicates itself to the dissemination of technical knowledge and recent advancements in RAG systems.