PromptQL

PromptQL is a data access agent to build AI assistants on ANY data (structured, unstructured or APIs). It gives your AI agentic data access so it can create complex query plans, run computations, retry on failures, modify query plans, and reduce hallucinations

PromptQL revolutionizes AI data access by enabling dynamic, agentic interactions with diverse data sources, including structured, unstructured, and APIs. Unlike traditional RAG systems, it creates adaptable query plans, handles complex computations, and retries on failures, reducing hallucinations. Its programmatic runtime supports data transformations, statistical analyses, and large-scale batch processing, even outside LLM context limits. PromptQL also allows AI to perform actions like updating records or triggering workflows, ensuring end-to-end task completion. With features like memory artifacts for context management and detailed execution plans for transparency, it overcomes limitations of rigid retrieval methods. Integrated with fine-grained access controls, it ensures secure, role-based data interactions, making it ideal for building advanced AI assistants tailored to specific business needs.