About
PromptQL revolutionizes data retrieval with its agentic approach, making AI assistants more effective, especially for closed domains. Traditional AI agents often rely on rigid search algorithms that falter when users deviate from expected queries. Users frequently experience frustration when trying to locate specific information, like receipts or recent activities, due to limitations in the assistant’s understanding of natural language. PromptQL addresses this by enabling AI agents to perform like humans, gathering relevant context first and then employing advanced language models to classify and retrieve the required information.
Highlights
By utilizing agentic query planning, PromptQL empowers users to seamlessly extract vital information. For example, instead of returning irrelevant or empty results when asked about “October receipts,” PromptQL intelligently retrieves necessary emails and classifies follow-up actions appropriately. Additionally, it offers a variety of AI solutions tailored to different sectors, including customer support integration via Zendesk and PostgreSQL, GitHub repository exploration, and e-commerce app data management, all facilitated through a user-friendly natural language interface.
With its innovative approach to AI-driven data access, PromptQL stands out as an essential tool for businesses looking to enhance their AI capabilities. Organizations interested in evaluating or developing customized AI solutions can collaborate for free to create tailored agent systems that harness the full potential of their data. Experience a new era of data accessibility with PromptQL, where AI meets natural human-like interaction.