If you're looking for an AI-powered service to synthesize information from multiple sources to help your development team, RunLLM is a great choice. It's a custom-built developer assistant that learns from a technology's APIs, documentation and community to give detailed help with user questions. RunLLM draws information from multiple sources like documentation, APIs and support tickets to give a richer help experience and improves its responses over time based on usage patterns and feedback.
Another good option is LangChain, which lets developers build and run context-aware, reasoning applications using their own data and APIs. It spans the LLM application lifecycle with tools like LangSmith for performance monitoring and LangServe for deploying APIs. LangChain's ability to consume many APIs and private sources means it's future-proof and vendor-agnostic, and it's good for boosting productivity and delivering high-end products.
If you want something more sophisticated, check out Abacus.AI. The platform lets developers build and run applied AI agents and systems at scale, using generative AI and neural networks. Abacus.AI products include ChatLLM for building RAG systems and AI Agents for automating complex work flows, so it's a good option for automating tasks and streamlining business operations.