If you want to create your own AI assistants and chatbots with domain knowledge, Glean is a great option. It employs Retrieval Augmented Generation (RAG) technology to produce answers drawn from your enterprise data, and it can personalize answers based on user identity and tasks. Glean offers no-code custom generative AI agents through Glean Apps, custom AI applications through APIs and a variety of connectors for easy setup. It's geared for engineering, support and sales teams that need quick access to authoritative information.
Another option is Abacus.AI, which lets developers create and deploy large-scale AI agents using generative AI and neural networks. It includes tools like ChatLLM for RAG systems, AI Agents for automating complex processes, and a variety of predictive and analytical tools. Abacus.AI can handle real-time forecasting, anomaly detection and high availability, so it's good for companies that want to improve customer service and run operations more efficiently.
If you prefer an open-source option, Dify offers a foundation for generative AI applications, including AI assistants and chatbots. It offers a visual Orchestration Studio for designing AI apps, customizable LLM agents and secure data pipelines. Dify's flexibility and tiered pricing means it's a good option for businesses and individuals who want to build AI securely and efficiently.
Last, NexusGPT is a no-code platform for building and integrating custom AI agents, good for automating lots of tasks and workflows. It's got a marketplace with 1,500+ prebuilt agents, and it supports multiple AI models, so it's accessible even to those without programming skills. NexusGPT is good for industries that want to automate a lot of repetitive work and streamline operations.