PromptQL
AI-driven data access tools improve the efficiency of intelligent retrieval of private data.
Product Details
PromptQL is a proxy data access tool designed for AI. It retrieves data like humans through proxy query planning, first collects relevant information, and then applies an appropriate large language model (LLM) for classification and subsequent processing to improve the retrieval efficiency and accuracy of private data. The emergence of this technology solves the limitations of traditional search algorithms in data retrieval in closed fields. Especially when users raise non-standardized queries, PromptQL can better understand and respond. Product background information shows that PromptQL aims to build the first agent for free by working closely with users to evaluate and improve the performance of existing AI agents/assistants.
Main Features
How to Use
Target Users
The target audience is enterprises or individuals who need to process large amounts of private data, especially those who seek to improve the efficiency and accuracy of data retrieval in closed domains. PromptQL enables non-standardized queries to receive more accurate responses by simulating the way humans process data, and is especially suitable for enterprises and developers who require highly customized data access solutions.
Examples
A business uses PromptQL to retrieve Uber receipts for a specific month.
Individual users use PromptQL to query products purchased within the past three months.
Sales teams leverage PromptQL to extract common pain points across sales opportunities.
Project managers use PromptQL to summarize the latest activities of the Acme project and develop action items.
Quick Access
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