If you want a platform to let you add natural language processing to your app without having to become an expert, Chariot is a good choice. Chariot lets developers add GPT-3.5 and GPT-4 models to their apps, with tools for text embeddings, conversation flow and document processing. It's available as SDKs for several programming languages so developers can add it to their projects.
Another strong option is Abacus.AI, which lets developers create and run AI agents and systems at large scale. It includes tools for building large language model apps, automating work processes and integrating data from multiple sources. Abacus.AI is geared for a broad range of business uses, from customer service to operations and sales forecasting.
If you want a more LLM-agnostic experience, GradientJ offers a full-fledged platform for next-gen AI apps. It's got an app-building canvas and team collaboration tools so developers can oversee and customize apps. GradientJ supports a variety of use cases, including smart chatbots and data extraction, so it's a good choice for AI development.
Last, LangChain is a powerful foundation for building context-aware AI apps using proprietary data and APIs. It's got tools to monitor performance and deploy APIs, so it's good for financial services and tech companies. LangChain supports a variety of document formats and retrieval algorithms, so it's a flexible and scalable foundation for AI.