If you're looking for a RunLLM alternative, LangChain is a good option. It's a platform that lets developers build and run context-aware, reasoning applications based on their own company data and APIs. It comes with a range of tools, including LangSmith for monitoring performance and LangServe for deploying APIs, and is a good option for financial services, FinTech and tech companies. With support for lots of document formats and retrieval algorithms, LangChain can help future-proof applications by consuming lots of different APIs and private sources.
Another option is QueryPal, an AI-powered information retrieval system that can answer repetitive questions in real time. It can be integrated with company documents to generate reports and answer questions, and is geared for teams in Slack and Microsoft Teams. QueryPal's AI chatbot is trained on company documents, so it's up to date and secure. It's good for DevOps and Customer Success use cases, with out-of-the-box integrations and role-based access controls.
If you want to build and run your own AI agents, Abacus.AI is a flexible foundation. It includes products like ChatLLM for building full-stack RAG systems and AI Agents for automating complex workflows. Abacus.AI has a broad range of predictive and analytical abilities, including forecasting and anomaly detection, so it can be used for customer service and business optimization. It also has tools for model monitoring and explainable ML, so you can keep a lid on what's going on.
Last is ThirdAI, a customizable AI platform that doesn't require any special hardware. It's good for document intelligence, customer experience and generative AI for summarizing documents. ThirdAI scores well on benchmark tests, so it's a good option for companies that want to build AI into their existing operations. It has tiered pricing options for basic, advanced and premium features.