Harness the power of GenAI and LLMs to intelligently query your data with Nexla's new RAG flows!
Implementing intelligent data querying through retrieval-augmented generation is now even easier with Nexla's RAG flows.
RAG data flows provide a simplified way for organizations to harness the information synthesis power of GenAI & LLMs to intelligently query any data, with rapidly generated responses presented in natural, easy-to-understand language. With automatically supplied code, the querying function of RAG flows can also be effortlessly integrated into external applications, such as customer-facing and internal chatbots.
🔹 Query Any Data
LLMs are trained with vast amounts of data, but organizations often need to query specific data relevant to a specific scenario and/or data that is not exposed for LLM training. With RAG flows, flow owners & administrators designate exactly which information is referenced to formulate query responses—including brand new or internal data.
🔹 Application Integration
Nexla automatically supplies the complete API configuration cURL needed to integrate RAG-powered querying into external applications—for example, a customer-facing chatbot that provides product recommendations and information. Simply copy the cURL, and insert it into the application's code.
To learn more about RAG flows and how to create them in Nexla, watch the video below or contact the Nexla support team.