Uniphore’s new X-Stream platform helps enterprises build RAG-based GenAI applications 8x faster by streamlining data processes.
Uniphore has introduced X-Stream, a unified platform designed to simplify how enterprises develop retrieval-augmented generation (RAG) applications. RAG apps use AI to retrieve data from specific databases to provide accurate, domain-specific responses. X-Stream solves a major challenge in building these apps: integrating and processing data spread across multiple sources, including text, video, and structured data, in a seamless, efficient way.
Creating RAG apps is often complicated due to the fragmented data sources within organizations. Companies traditionally rely on multiple tools to prepare data, including connectors and databases like Milvus and Pinecone. This complexity leads to long development times, often taking months. X-Stream consolidates all the tools needed for data transformation and storage into a single platform, allowing businesses to quickly ingest, process, and organize their data into AI-ready formats. This greatly reduces the time and complexity of building scalable GenAI apps.
In addition to simplifying data management, X-Stream offers advanced features like knowledge graph generation and synthetic data creation. These capabilities help fine-tune AI models for specific industries and use cases, ensuring accuracy and reliability. X-Stream also provides tools for fact-checking and chunk attribution, which enhance trust in AI outputs by ensuring the data’s integrity. This makes it easier for businesses to create GenAI applications that meet strict compliance and governance standards.
Uniphore claims that X-Stream enables up to 8x faster deployment of AI applications compared to traditional methods. The platform’s efficiency helps enterprises accelerate their AI strategies while maintaining high-quality data handling. Uniphore’s X-Stream solution aims to deliver faster ROI and make GenAI more accessible for businesses across industries.